Data & Society is an independent nonprofit research organization studying the social implications of data-centric technologies and automation. We recognize that the same innovative technologies that may benefit society can also be abused to invade privacy, provide new tools of discrimination, foreclose opportunity, and harm individuals and communities. Through original research and inclusive engagement, we work to ensure that empirical evidence and respect for human dignity guide how technology is developed and governed.

The Role

Data & Society is seeking a Senior Researcher, AI Civics who is a subject-matter expert who will serve as a lead contributor on an ambitious, two-year program at Data & Society focused on civic action and community control over AI. Drawing primarily on participatory methods, particularly participatory action research methods, the Senior Researcher will be primarily responsible for one or more inter-organizational partnerships with organizations — especially one or more national partner organizations working in the domain of K-12 education, labor, faith, or advocacy.

The AI Civics program is a newly-launched effort planning to amplify the tools of civic participation to help the public to directly shape the role that AI plays in society, surfacing civic tools the public can use to exert political power over AI systems and tech platforms at the community level. The program will co-create toolkits and training resources with anchor partner organizations, diffuses these resources through a train-the-trainer model, and builds towards a national civic coalition demanding democratic accountability over AI. This program also contributes to Data & Society’s strategic priority of building network power.

The Senior Researcher will be responsible for executing mission-critical co-design and participatory research projects as part of the AI Civics program at Data & Society.

This position will report to the Program Director and is fully remote and will begin in September 2026 with an end date of May 31, 2028.

The Candidate

This role will operate at the intersection of partnership relationship management, policy and design research, and curriculum co-design. Specifically, the Senior Researcher will collaborate closely with the AI Civics Program Director and team to co-produce educational materials and other public-facing outputs with partners and community members, such as case studies, templates, reports, research papers, blogs, and public-facing writing. They may also be required to report to organization leadership on the goals of the program and research progress as well as represent D&S in other public venues. They will also participate and help plan research team events and public writing and speaking engagements.

This role requires strong organizational, analytic, and writing skills, and the ability to express ideas and thoughts with academic literature in their discipline. They should be comfortable completing solo research projects, as well as collaborating with and directing contractors and other collaborators. They must be able to dedicate full-time focus toward the research program of AI Civics.

Primary Responsibilities

Participatory Research

• Draw on expertise in participatory research methods to cultivate and steward relationships with partner organization staff, community members and leaders, allied organizations, and/or public sector workers.
• Lead one or more collaborative relationship(s) with an anchor partner and their local members and constituents for the co-creation and diffusion of AI Civics resources using participatory methods, especially participatory action research.
• Co-develop and direct the iterative improvement of toolkits, facilitation guides, and training curricula. Help coordinate and/or run piloting, feedback collection, and revision cycles, rooted in community needs and interests to advance the AI Civics objectives.
• Produce D&S case studies, educational materials, templates, reports, academic publications, lectures, and public writing on those topics.
• Partner with the Program Director with facilitation preparation for co-design workshops, train-the-trainer sessions, and participatory research activities with anchor partner organizations and their local member cohorts.
• Drive forward programmatic work, including developing research questions, strategies, and new external partnerships, in close collaboration with the AI Civics Program Director.
• Coordinate across internal teams to produce public outputs from the program.
• Contribute to the Data & Society research culture and community, including regularly joining Research team meetings, seminars, and events.

Network Engagement

• Assist with communications to the AI Civics partner network, including updates, event announcements, and follow-up summary notes and agreements from convenings.

Fundraising

• Participate in fundraising efforts, such as applying for grants and drafting materials for the Development Team to use.

Organizational Development

• Contribute to the intellectual life of the organization as an active participant in internal programming: attending talks, participating in seminars or reading groups, and contributing to the development of research management practices.
• Attend whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training and social events.
• Participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees.

Skills & Qualifications

Required Qualifications

• Graduate degree or equivalent required.
• Expertise in one or more sectors of interest to the program: K-12 education, labor, faith groups, or another institutional pillar of civic life as it relates to data-centric technologies and AI.
• Minimum of 7- 10 years experience in research organizations or research environment within organizations (university, public policy, advocacy, government, etc), inclusive of graduate work.
• Expertise in participatory research methods and strong research skills required.
• Strong track record of seeing research through to publication.
• Public profile and ability to connect with non-academic audiences via writing and speaking.
• Strong interpersonal skills and demonstrated experience working with colleagues to see research through to successful outcomes.
• Ability to coordinate and conduct in-depth qualitative research.
• Comfort with a fast-paced work environment at a rapidly evolving organization.
• Strong organizational, analytic, and writing skills, and familiarity with academic literature in their discipline.
• Ability to coordinate with other team members and the D&S community.

Preferred Qualifications

• Doctoral degree in information science, education, social sciences, or similar field.
• Established contributions to and/or relationships with relevant organizations within a theme of interest to the program, such as K-12 education, labor, faith groups, advocacy groups, or similar.
• Experience with civic engagement, organizing, or similar activities, ideally in a nonprofit, labor, advocacy, research, or public interest technology context.
• Experience in education, research, design, program evaluation, and/or policy applied in organizational contexts.
• Familiarity with relevant academic literature across several areas, developing or deep mastery in one or two areas.
• Willingness to dedicate a full-time level of effort to the AI Civics program for the duration of the program.

Core Competencies

• Strong communication skills; exhibits good listening and comprehension, as well as outstanding writing and editorial ability.
• Demonstrated ability to manage complex projects with inter-organizational dependencies
• Familiarity with issues around the intersection of technology and public power.
• Strong analytical, reasoning, organizational, argumentation, and problem-solving skills.
• Confronts difficult situations, adapts to changes in the work environment, maintains objectivity, able to deal with frequent change, delays, or unexpected events, changes approach or method to best fit the situation.
• Leadership ability to make timely decisions, includes appropriate people in decision-making process, exhibits sound and accurate judgement.
• Displays ability to facilitate groups to come to consensus.
• Inspires respect and trust, exhibits confidence in self and others.

Organizational Values and Participation

• Commitment to advancing organizational diversity, equity, and inclusion.
• Actively participate in programs and professional development opportunities that work to ensure we continue our commitment to being an anti-racist and anti-discrimination organization.
• To attend, where able, whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training, and social events.
• To participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees (e.g. DEIA Working Group).

To Apply, please submit the following items by July 30, 2026 :

1. A cover letter explaining your interest in this role and why you would be a good fit for this position.
2. An academic CV is required.
3. The names, affiliations, and contact information for three (3) references. Please include the name, title, email addresses, and phone numbers for each reference. Only candidates who reach the final round of interviews may have their references contacted.

Applications will be reviewed beginning July 31, 2026. Please feel free to contact us at jobs@datasociety.net should you have any questions about the role. Questions about the opportunity or process will not reflect negatively on your application.

Practical Considerations

1. Data & Society has committed to safety requirements to protect our staff from the COVID-19 pandemic. We require that prospective employees are fully vaccinated against COVID-19 before joining our organization. Please note that any reasonable accommodation request is not guaranteed to be approved, and we will comply with ADA-related requirements to evaluate the accommodation against business needs.
2. This is currently a full-time, remote position in the AI Civics program with an expected start date in September 2026 and an end date of May 31, 2028. This is a 2-year position, with no expectation for extension. Data & Society is based in New York City, and will for the foreseeable future operate as a Remote-First organization. The role may involve occasional onsite meetings in the future.
3. You must be living and authorized to work in the United States; we are unable to sponsor visas.
4. The salary range for this role is $78,000 to $97,000 annually, commensurate with experience. This salary offer will include a generous benefits package including medical, dental, and vision insurance and access to a range of opt-in products and services including additional insurance and 401k management as well as paid time off and paid federal holidays.

The salary range for this position is noted within this job posting. Where a prospective employee or employee is compensated within this salary range is dependent upon, among other factors, actual compensation for current/former employees in the subject position; market considerations; budgetary considerations; tenure, and standing with the organization (applicable to current employees); as well as the employee’s/applicant’s overall qualifications: knowledge, skills, pertinent experience, and abilities.

Data & Society is an independent nonprofit research organization studying the social implications of data-centric technologies and automation. We recognize that the same innovative technologies that may benefit society can also be abused to invade privacy, provide new tools of discrimination, foreclose opportunity, and harm individuals and communities. Through original research and inclusive engagement, we work to ensure that empirical evidence and respect for human dignity guide how technology is developed and governed.

The Role

Data & Society is seeking a Senior Researcher, AI Civics who is a subject-matter expert who will serve as a lead contributor on an ambitious, two-year program at Data & Society focused on civic action and community control over AI. Drawing primarily on participatory methods, particularly participatory action research methods, the Senior Researcher will be primarily responsible for one or more inter-organizational partnerships with organizations — especially one or more national partner organizations working in the domain of K-12 education, labor, faith, or advocacy.

The AI Civics program is a newly-launched effort planning to amplify the tools of civic participation to help the public to directly shape the role that AI plays in society, surfacing civic tools the public can use to exert political power over AI systems and tech platforms at the community level. The program will co-create toolkits and training resources with anchor partner organizations, diffuses these resources through a train-the-trainer model, and builds towards a national civic coalition demanding democratic accountability over AI. This program also contributes to Data & Society’s strategic priority of building network power.

The Senior Researcher will be responsible for executing mission-critical co-design and participatory research projects as part of the AI Civics program at Data & Society.

This position will report to the Program Director and is fully remote and will begin in September 2026 with an end date of May 31, 2028.

The Candidate

This role will operate at the intersection of partnership relationship management, policy and design research, and curriculum co-design. Specifically, the Senior Researcher will collaborate closely with the AI Civics Program Director and team to co-produce educational materials and other public-facing outputs with partners and community members, such as case studies, templates, reports, research papers, blogs, and public-facing writing. They may also be required to report to organization leadership on the goals of the program and research progress as well as represent D&S in other public venues. They will also participate and help plan research team events and public writing and speaking engagements.

This role requires strong organizational, analytic, and writing skills, and the ability to express ideas and thoughts with academic literature in their discipline. They should be comfortable completing solo research projects, as well as collaborating with and directing contractors and other collaborators. They must be able to dedicate full-time focus toward the research program of AI Civics.

Primary Responsibilities

Participatory Research

• Draw on expertise in participatory research methods to cultivate and steward relationships with partner organization staff, community members and leaders, allied organizations, and/or public sector workers.
• Lead one or more collaborative relationship(s) with an anchor partner and their local members and constituents for the co-creation and diffusion of AI Civics resources using participatory methods, especially participatory action research.
• Co-develop and direct the iterative improvement of toolkits, facilitation guides, and training curricula. Help coordinate and/or run piloting, feedback collection, and revision cycles, rooted in community needs and interests to advance the AI Civics objectives.
• Produce D&S case studies, educational materials, templates, reports, academic publications, lectures, and public writing on those topics.
• Partner with the Program Director with facilitation preparation for co-design workshops, train-the-trainer sessions, and participatory research activities with anchor partner organizations and their local member cohorts.
• Drive forward programmatic work, including developing research questions, strategies, and new external partnerships, in close collaboration with the AI Civics Program Director.
• Coordinate across internal teams to produce public outputs from the program.
• Contribute to the Data & Society research culture and community, including regularly joining Research team meetings, seminars, and events.

Network Engagement

• Assist with communications to the AI Civics partner network, including updates, event announcements, and follow-up summary notes and agreements from convenings.

Fundraising

• Participate in fundraising efforts, such as applying for grants and drafting materials for the Development Team to use.

Organizational Development

• Contribute to the intellectual life of the organization as an active participant in internal programming: attending talks, participating in seminars or reading groups, and contributing to the development of research management practices.
• Attend whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training and social events.
• Participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees.

Skills & Qualifications

Required Qualifications

• Graduate degree or equivalent required.
• Expertise in one or more sectors of interest to the program: K-12 education, labor, faith groups, or another institutional pillar of civic life as it relates to data-centric technologies and AI.
• Minimum of 7- 10 years experience in research organizations or research environment within organizations (university, public policy, advocacy, government, etc), inclusive of graduate work.
• Expertise in participatory research methods and strong research skills required.
• Strong track record of seeing research through to publication.
• Public profile and ability to connect with non-academic audiences via writing and speaking.
• Strong interpersonal skills and demonstrated experience working with colleagues to see research through to successful outcomes.
• Ability to coordinate and conduct in-depth qualitative research.
• Comfort with a fast-paced work environment at a rapidly evolving organization.
• Strong organizational, analytic, and writing skills, and familiarity with academic literature in their discipline.
• Ability to coordinate with other team members and the D&S community.

Preferred Qualifications

• Doctoral degree in information science, education, social sciences, or similar field.
• Established contributions to and/or relationships with relevant organizations within a theme of interest to the program, such as K-12 education, labor, faith groups, advocacy groups, or similar.
• Experience with civic engagement, organizing, or similar activities, ideally in a nonprofit, labor, advocacy, research, or public interest technology context.
• Experience in education, research, design, program evaluation, and/or policy applied in organizational contexts.
• Familiarity with relevant academic literature across several areas, developing or deep mastery in one or two areas.
• Willingness to dedicate a full-time level of effort to the AI Civics program for the duration of the program.

Core Competencies

• Strong communication skills; exhibits good listening and comprehension, as well as outstanding writing and editorial ability.
• Demonstrated ability to manage complex projects with inter-organizational dependencies
• Familiarity with issues around the intersection of technology and public power.
• Strong analytical, reasoning, organizational, argumentation, and problem-solving skills.
• Confronts difficult situations, adapts to changes in the work environment, maintains objectivity, able to deal with frequent change, delays, or unexpected events, changes approach or method to best fit the situation.
• Leadership ability to make timely decisions, includes appropriate people in decision-making process, exhibits sound and accurate judgement.
• Displays ability to facilitate groups to come to consensus.
• Inspires respect and trust, exhibits confidence in self and others.

Organizational Values and Participation

• Commitment to advancing organizational diversity, equity, and inclusion.
• Actively participate in programs and professional development opportunities that work to ensure we continue our commitment to being an anti-racist and anti-discrimination organization.
• To attend, where able, whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training, and social events.
• To participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees (e.g. DEIA Working Group).

To Apply, please submit the following items by July 30, 2026 :

1. A cover letter explaining your interest in this role and why you would be a good fit for this position.
2. An academic CV is required.
3. The names, affiliations, and contact information for three (3) references. Please include the name, title, email addresses, and phone numbers for each reference. Only candidates who reach the final round of interviews may have their references contacted.

Applications will be reviewed beginning July 31, 2026. Please feel free to contact us at jobs@datasociety.net should you have any questions about the role. Questions about the opportunity or process will not reflect negatively on your application.

Practical Considerations

1. Data & Society has committed to safety requirements to protect our staff from the COVID-19 pandemic. We require that prospective employees are fully vaccinated against COVID-19 before joining our organization. Please note that any reasonable accommodation request is not guaranteed to be approved, and we will comply with ADA-related requirements to evaluate the accommodation against business needs.
2. This is currently a full-time, remote position in the AI Civics program with an expected start date in September 2026 and an end date of May 31, 2028. This is a 2-year position, with no expectation for extension. Data & Society is based in New York City, and will for the foreseeable future operate as a Remote-First organization. The role may involve occasional onsite meetings in the future.
3. You must be living and authorized to work in the United States; we are unable to sponsor visas.
4. The salary range for this role is $78,000 to $97,000 annually, commensurate with experience. This salary offer will include a generous benefits package including medical, dental, and vision insurance and access to a range of opt-in products and services including additional insurance and 401k management as well as paid time off and paid federal holidays.

The salary range for this position is noted within this job posting. Where a prospective employee or employee is compensated within this salary range is dependent upon, among other factors, actual compensation for current/former employees in the subject position; market considerations; budgetary considerations; tenure, and standing with the organization (applicable to current employees); as well as the employee’s/applicant’s overall qualifications: knowledge, skills, pertinent experience, and abilities.

Data & Society is an independent nonprofit research organization studying the social implications of data-centric technologies and automation. We recognize that the same innovative technologies that may benefit society can also be abused to invade privacy, provide new tools of discrimination, foreclose opportunity, and harm individuals and communities. Through original research and inclusive engagement, we work to ensure that empirical evidence and respect for human dignity guide how technology is developed and governed.

The Role

Data & Society is seeking a Senior Researcher, AI Civics who is a subject-matter expert who will serve as a lead contributor on an ambitious, two-year program at Data & Society focused on civic action and community control over AI. Drawing primarily on participatory methods, particularly participatory action research methods, the Senior Researcher will be primarily responsible for one or more inter-organizational partnerships with organizations — especially one or more national partner organizations working in the domain of K-12 education, labor, faith, or advocacy.

The AI Civics program is a newly-launched effort planning to amplify the tools of civic participation to help the public to directly shape the role that AI plays in society, surfacing civic tools the public can use to exert political power over AI systems and tech platforms at the community level. The program will co-create toolkits and training resources with anchor partner organizations, diffuses these resources through a train-the-trainer model, and builds towards a national civic coalition demanding democratic accountability over AI. This program also contributes to Data & Society’s strategic priority of building network power.

The Senior Researcher will be responsible for executing mission-critical co-design and participatory research projects as part of the AI Civics program at Data & Society.

This position will report to the Program Director and is fully remote and will begin in September 2026 with an end date of May 31, 2028.

The Candidate

This role will operate at the intersection of partnership relationship management, policy and design research, and curriculum co-design. Specifically, the Senior Researcher will collaborate closely with the AI Civics Program Director and team to co-produce educational materials and other public-facing outputs with partners and community members, such as case studies, templates, reports, research papers, blogs, and public-facing writing. They may also be required to report to organization leadership on the goals of the program and research progress as well as represent D&S in other public venues. They will also participate and help plan research team events and public writing and speaking engagements.

This role requires strong organizational, analytic, and writing skills, and the ability to express ideas and thoughts with academic literature in their discipline. They should be comfortable completing solo research projects, as well as collaborating with and directing contractors and other collaborators. They must be able to dedicate full-time focus toward the research program of AI Civics.

Primary Responsibilities

Participatory Research

• Draw on expertise in participatory research methods to cultivate and steward relationships with partner organization staff, community members and leaders, allied organizations, and/or public sector workers.
• Lead one or more collaborative relationship(s) with an anchor partner and their local members and constituents for the co-creation and diffusion of AI Civics resources using participatory methods, especially participatory action research.
• Co-develop and direct the iterative improvement of toolkits, facilitation guides, and training curricula. Help coordinate and/or run piloting, feedback collection, and revision cycles, rooted in community needs and interests to advance the AI Civics objectives.
• Produce D&S case studies, educational materials, templates, reports, academic publications, lectures, and public writing on those topics.
• Partner with the Program Director with facilitation preparation for co-design workshops, train-the-trainer sessions, and participatory research activities with anchor partner organizations and their local member cohorts.
• Drive forward programmatic work, including developing research questions, strategies, and new external partnerships, in close collaboration with the AI Civics Program Director.
• Coordinate across internal teams to produce public outputs from the program.
• Contribute to the Data & Society research culture and community, including regularly joining Research team meetings, seminars, and events.

Network Engagement

• Assist with communications to the AI Civics partner network, including updates, event announcements, and follow-up summary notes and agreements from convenings.

Fundraising

• Participate in fundraising efforts, such as applying for grants and drafting materials for the Development Team to use.

Organizational Development

• Contribute to the intellectual life of the organization as an active participant in internal programming: attending talks, participating in seminars or reading groups, and contributing to the development of research management practices.
• Attend whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training and social events.
• Participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees.

Skills & Qualifications

Required Qualifications

• Graduate degree or equivalent required.
• Expertise in one or more sectors of interest to the program: K-12 education, labor, faith groups, or another institutional pillar of civic life as it relates to data-centric technologies and AI.
• Minimum of 7- 10 years experience in research organizations or research environment within organizations (university, public policy, advocacy, government, etc), inclusive of graduate work.
• Expertise in participatory research methods and strong research skills required.
• Strong track record of seeing research through to publication.
• Public profile and ability to connect with non-academic audiences via writing and speaking.
• Strong interpersonal skills and demonstrated experience working with colleagues to see research through to successful outcomes.
• Ability to coordinate and conduct in-depth qualitative research.
• Comfort with a fast-paced work environment at a rapidly evolving organization.
• Strong organizational, analytic, and writing skills, and familiarity with academic literature in their discipline.
• Ability to coordinate with other team members and the D&S community.

Preferred Qualifications

• Doctoral degree in information science, education, social sciences, or similar field.
• Established contributions to and/or relationships with relevant organizations within a theme of interest to the program, such as K-12 education, labor, faith groups, advocacy groups, or similar.
• Experience with civic engagement, organizing, or similar activities, ideally in a nonprofit, labor, advocacy, research, or public interest technology context.
• Experience in education, research, design, program evaluation, and/or policy applied in organizational contexts.
• Familiarity with relevant academic literature across several areas, developing or deep mastery in one or two areas.
• Willingness to dedicate a full-time level of effort to the AI Civics program for the duration of the program.

Core Competencies

• Strong communication skills; exhibits good listening and comprehension, as well as outstanding writing and editorial ability.
• Demonstrated ability to manage complex projects with inter-organizational dependencies
• Familiarity with issues around the intersection of technology and public power.
• Strong analytical, reasoning, organizational, argumentation, and problem-solving skills.
• Confronts difficult situations, adapts to changes in the work environment, maintains objectivity, able to deal with frequent change, delays, or unexpected events, changes approach or method to best fit the situation.
• Leadership ability to make timely decisions, includes appropriate people in decision-making process, exhibits sound and accurate judgement.
• Displays ability to facilitate groups to come to consensus.
• Inspires respect and trust, exhibits confidence in self and others.

Organizational Values and Participation

• Commitment to advancing organizational diversity, equity, and inclusion.
• Actively participate in programs and professional development opportunities that work to ensure we continue our commitment to being an anti-racist and anti-discrimination organization.
• To attend, where able, whole-organization activities such as staff meetings, retreats, town halls, listening sessions, workshops, training, and social events.
• To participate, where able and appropriate, in contributing to the culture of D&S by participating in working groups and committees (e.g. DEIA Working Group).

To Apply, please submit the following items by July 30, 2026 :

1. A cover letter explaining your interest in this role and why you would be a good fit for this position.
2. An academic CV is required.
3. The names, affiliations, and contact information for three (3) references. Please include the name, title, email addresses, and phone numbers for each reference. Only candidates who reach the final round of interviews may have their references contacted.

Applications will be reviewed beginning July 31, 2026. Please feel free to contact us at jobs@datasociety.net should you have any questions about the role. Questions about the opportunity or process will not reflect negatively on your application.

Practical Considerations

1. Data & Society has committed to safety requirements to protect our staff from the COVID-19 pandemic. We require that prospective employees are fully vaccinated against COVID-19 before joining our organization. Please note that any reasonable accommodation request is not guaranteed to be approved, and we will comply with ADA-related requirements to evaluate the accommodation against business needs.
2. This is currently a full-time, remote position in the AI Civics program with an expected start date in September 2026 and an end date of May 31, 2028. This is a 2-year position, with no expectation for extension. Data & Society is based in New York City, and will for the foreseeable future operate as a Remote-First organization. The role may involve occasional onsite meetings in the future.
3. You must be living and authorized to work in the United States; we are unable to sponsor visas.
4. The salary range for this role is $78,000 to $97,000 annually, commensurate with experience. This salary offer will include a generous benefits package including medical, dental, and vision insurance and access to a range of opt-in products and services including additional insurance and 401k management as well as paid time off and paid federal holidays.

The salary range for this position is noted within this job posting. Where a prospective employee or employee is compensated within this salary range is dependent upon, among other factors, actual compensation for current/former employees in the subject position; market considerations; budgetary considerations; tenure, and standing with the organization (applicable to current employees); as well as the employee’s/applicant’s overall qualifications: knowledge, skills, pertinent experience, and abilities.

About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

Biostatistics / Fixed-Term / Remote U.S. or Canada

The Artera Graduate Biostatistics Program invites Master’s- and PhD-level statisticians to gain hands-on experience applying biostatistics in the AI healthcare industry. During the 3-month program, Biostatistics Associates will contribute to real product development, clinical evidence generation, and AI model validation projects while receiving structured mentorship and on-the-job training from Artera’s Biostatistics team.

As a Biostatistics Research Associate at Artera, you will work at the intersection of biostatistics, oncology research, AI model development, and clinical evidence generation. You will work closely with biostatisticians, data analysts, machine learning scientists, clinical operations, medical affairs, regulatory, and product teams to support statistical analyses and data workflows for high-priority oncology programs.

This is a hands-on, project-based role working with real-world clinical datasets and contributing to analyses that support AI model development, clinical validation, regulatory submissions, publications, conference abstracts, collaborator updates, and internal decision-making.

Essential Responsibilities:

• Support clinical data intake, cleaning, and preparation of analysis-ready datasets for model development and clinical validation.

• Conduct exploratory and statistical analyses for retrospective and prospective oncology studies.

• Generate tables, figures, and summary outputs for internal review, publications, and regulatory submissions.

• Reproduce, validate, and QC existing analyses under supervision.

• Document analysis workflows and decisions to support reproducibility.

• Collaborate with Biostatistics, AI, Clinical, Product, and Regulatory stakeholders.

Requirements:

• Master’s degree or higher in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, or a related field.

• Experience using R for statistical analysis.

• Strong foundation in statistical methods and study design.

• Ability to communicate clearly with technical and non-technical collaborators.

• Ability to work independently on scoped analyses while incorporating feedback from senior team members.

• Interest in applying biostatistics to healthcare, oncology, AI, or clinical product development.

Preferred Qualifications:

• Experience with clinical, biomedical, oncology, pathology, genomics, imaging, real-world health, or clinical trial data.

• Familiarity with survival analysis or regression modeling.

• Experience with Python, SQL, or cloud compute environments.

• Experience creating reproducible analysis workflows using R Markdown, Quarto, Git, or similar tools.

• Experience supporting abstracts, manuscripts, scientific presentations, or collaborator-facing analysis deliverables.

• Interest in AI/ML applications in healthcare.

Program Structure:

• Duration: 3 months with a possibility of extension

• Location: Remote work in the United States or Canada

• Time commitment: Full-time

• Mentorship: Associates will receive direct mentorship from Artera’s Biostatistics team

Work Authorization Requirement:

This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas for this position.

Eligible candidates may include:

• Individuals authorized to work in the United States on a permanent basis, such as U.S. citizens or permanent residents; or

• Individuals authorized to work in Canada, such as Canadian citizens or Canadian permanent residents.

$35 - $45 an hour

Compensation will be determined based on program duration, time commitment, candidate location, and level of training and experience.

Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

About Maze

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development.

In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in.

We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision.

Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves.

That’s why Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more.

Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.

About the Role

Maze is launching a Market Research service that blends the scale and speed of our platform with expert led research services, creating an AI-native alternative to traditional market research agencies.

As Head of Market Research, you’ll be the founding research leader for this new line of business. Reporting to the COO and partnering closely with the Head of GTM, Research Services, you’ll define what great market research looks like in an AI-first world. You’ll own the research vision, methodologies, service delivery, and quality bar while helping shape the future of research alongside Product, Engineering, and GTM.

This is a rare opportunity to build a modern market research organization from the ground up. We’re looking for someone with deep methodological expertise, a strong point of view on where the industry is headed, and the curiosity to rethink how AI can fundamentally transform the way research is designed, delivered, and consumed.

You’ll thrive here if you’re equal parts practitioner, builder, and innovator—someone who has spent years earning credibility in market research and is now excited to redefine what the next generation of research can become.

What You’ll Do

Research Strategy & Service Design

• Define the long-term vision for Maze’s Market Research service and establish what best-in-class research looks like in an AI-native world.

• Design and evolve our research methodologies across qualitative, quantitative, and mixed-method studies.

• Partner closely with the Head of GTM to shape service offerings, ensuring our commercial strategy is grounded in exceptional research quality.

• Continuously evaluate emerging AI capabilities and incorporate them into how research is conducted, synthesized, and delivered.

Build the Research Function

• Build and lead the Market Research organization, establishing the operating model, delivery processes, quality standards, and hiring strategy.

• Recruit, mentor, and develop a high-performing team of researchers as the business scales.

• Create repeatable systems that allow Maze to deliver exceptional research with greater speed, consistency, and efficiency than traditional agencies.

• Establish quality assurance frameworks while balancing methodological rigor with the agility our customers expect.

Research Delivery & Customer Partnership

• Serve as the executive research lead on strategic customer engagements, ensuring every project delivers meaningful business outcomes.

• Guide study design, research approaches, analysis, and executive storytelling for our highest-impact customers.

• Partner with customers to understand complex business problems and translate them into actionable research strategies.

• Continuously improve our delivery model based on customer feedback and market evolution.

Cross-Functional Leadership

• Partner closely with Product and Engineering to influence the roadmap for AI-powered research capabilities.

• Collaborate with Sales, Marketing, and Customer Success to ensure our research expertise is reflected throughout the customer journey.

• Help establish Maze as a trusted authority in the market research industry through customer conversations, industry events, publications, and thought leadership.

• Act as the voice of the researcher internally, ensuring product and commercial decisions remain grounded in customer insight and research excellence.

Who You Are

Experience

• Significant experience leading market research teams, research consulting practices, or insights organizations.

• Deep expertise across qualitative and quantitative methodologies, research design, sampling, analysis, and insight generation.

• Experience building or scaling research organizations, practices, or service offerings.

• Strong executive presence with the ability to advise senior leaders and enterprise customers on research strategy.

• Experience partnering cross-functionally across commercial, product, and operational teams.

Skills & Strengths

Research visionary

You have a clear perspective on where market research is heading and aren’t satisfied simply improving today’s processes—you want to redefine them.

AI-native thinker

You believe AI fundamentally changes how research should be conducted, synthesized, and delivered. You’re already experimenting with AI in your own work and are excited to help define new methodologies rather than simply automate existing ones.

Builder

You thrive in zero-to-one environments. You’re comfortable creating structure from ambiguity, building teams, and establishing entirely new ways of working.

Methodology expert

You’re respected for your research expertise and know when to challenge conventional approaches. You balance methodological rigor with practical business outcomes.

Executive partner

You communicate complex research clearly, influence senior stakeholders, and build trusted relationships across customers, executives, and cross-functional teams.

Bonus

• Experience building or modernizing a research organization through AI-enabled workflows.

• Experience launching a new research practice, consultancy, or service line.

• Public speaking, publishing, or thought leadership within the market research industry.

• Experience working across both agency and client-side research organizations.

• Experience partnering closely with Product and Engineering teams to build research technology.

Inclusivity and Pay

At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we’d still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture.

Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.

Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.

Why Maze is unique

• Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you’ll have the unique opportunity to directly impact success and help shape the future of Maze.

• Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there’s finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge.

• Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions

Benefits

• Health insurance with international coverage, vision, and dental: 100% of the team member premium paid

  • For some locations, coverage options vary, please see our benefits pages for more information

• Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24⁄7 access to resources

• Life and Disability Insurance, 100% of the team member premium paid

• Flexible time off

• Meaningful equity

• Company retreats, fully paid for by Maze

• New MacBook (laptop), paid for by Maze

• Paid Family leave: 16 weeks for birth or adoptive parents

• $500/month to be used for dependent health insurance coverage

  • If you don’t have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever!

• $1,500 remote work setup fund to ensure you can set up a productive work space

• Flexible work schedule where you manage your own working hours

• Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more

• Virtual social engagements randomly throughout the year

• SWAG, we have some really cool swag

• Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more

Check out all of our a-maze-ing benefits here.

Outreach Notice

We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.

About Maze

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development.

In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in.

We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision.

Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves.

That’s why Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more.

Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values.

About the Role

Maze is launching a Market Research service that blends the scale and speed of our platform with expert led research services, creating an AI-native alternative to traditional market research agencies.

As Head of Market Research, you’ll be the founding research leader for this new line of business. Reporting to the COO and partnering closely with the Head of GTM, Research Services, you’ll define what great market research looks like in an AI-first world. You’ll own the research vision, methodologies, service delivery, and quality bar while helping shape the future of research alongside Product, Engineering, and GTM.

This is a rare opportunity to build a modern market research organization from the ground up. We’re looking for someone with deep methodological expertise, a strong point of view on where the industry is headed, and the curiosity to rethink how AI can fundamentally transform the way research is designed, delivered, and consumed.

You’ll thrive here if you’re equal parts practitioner, builder, and innovator—someone who has spent years earning credibility in market research and is now excited to redefine what the next generation of research can become.

What You’ll Do

Research Strategy & Service Design

• Define the long-term vision for Maze’s Market Research service and establish what best-in-class research looks like in an AI-native world.

• Design and evolve our research methodologies across qualitative, quantitative, and mixed-method studies.

• Partner closely with the Head of GTM to shape service offerings, ensuring our commercial strategy is grounded in exceptional research quality.

• Continuously evaluate emerging AI capabilities and incorporate them into how research is conducted, synthesized, and delivered.

Build the Research Function

• Build and lead the Market Research organization, establishing the operating model, delivery processes, quality standards, and hiring strategy.

• Recruit, mentor, and develop a high-performing team of researchers as the business scales.

• Create repeatable systems that allow Maze to deliver exceptional research with greater speed, consistency, and efficiency than traditional agencies.

• Establish quality assurance frameworks while balancing methodological rigor with the agility our customers expect.

Research Delivery & Customer Partnership

• Serve as the executive research lead on strategic customer engagements, ensuring every project delivers meaningful business outcomes.

• Guide study design, research approaches, analysis, and executive storytelling for our highest-impact customers.

• Partner with customers to understand complex business problems and translate them into actionable research strategies.

• Continuously improve our delivery model based on customer feedback and market evolution.

Cross-Functional Leadership

• Partner closely with Product and Engineering to influence the roadmap for AI-powered research capabilities.

• Collaborate with Sales, Marketing, and Customer Success to ensure our research expertise is reflected throughout the customer journey.

• Help establish Maze as a trusted authority in the market research industry through customer conversations, industry events, publications, and thought leadership.

• Act as the voice of the researcher internally, ensuring product and commercial decisions remain grounded in customer insight and research excellence.

Who You Are

Experience

• Significant experience leading market research teams, research consulting practices, or insights organizations.

• Deep expertise across qualitative and quantitative methodologies, research design, sampling, analysis, and insight generation.

• Experience building or scaling research organizations, practices, or service offerings.

• Strong executive presence with the ability to advise senior leaders and enterprise customers on research strategy.

• Experience partnering cross-functionally across commercial, product, and operational teams.

Skills & Strengths

Research visionary

You have a clear perspective on where market research is heading and aren’t satisfied simply improving today’s processes—you want to redefine them.

AI-native thinker

You believe AI fundamentally changes how research should be conducted, synthesized, and delivered. You’re already experimenting with AI in your own work and are excited to help define new methodologies rather than simply automate existing ones.

Builder

You thrive in zero-to-one environments. You’re comfortable creating structure from ambiguity, building teams, and establishing entirely new ways of working.

Methodology expert

You’re respected for your research expertise and know when to challenge conventional approaches. You balance methodological rigor with practical business outcomes.

Executive partner

You communicate complex research clearly, influence senior stakeholders, and build trusted relationships across customers, executives, and cross-functional teams.

Bonus

• Experience building or modernizing a research organization through AI-enabled workflows.

• Experience launching a new research practice, consultancy, or service line.

• Public speaking, publishing, or thought leadership within the market research industry.

• Experience working across both agency and client-side research organizations.

• Experience partnering closely with Product and Engineering teams to build research technology.

Inclusivity and Pay

At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we’d still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture.

Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.

Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.

Why Maze is unique

• Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you’ll have the unique opportunity to directly impact success and help shape the future of Maze.

• Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there’s finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge.

• Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions

Benefits

• Health insurance with international coverage, vision, and dental: 100% of the team member premium paid

  • For some locations, coverage options vary, please see our benefits pages for more information

• Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24⁄7 access to resources

• Life and Disability Insurance, 100% of the team member premium paid

• Flexible time off

• Meaningful equity

• Company retreats, fully paid for by Maze

• New MacBook (laptop), paid for by Maze

• Paid Family leave: 16 weeks for birth or adoptive parents

• $500/month to be used for dependent health insurance coverage

  • If you don’t have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever!

• $1,500 remote work setup fund to ensure you can set up a productive work space

• Flexible work schedule where you manage your own working hours

• Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more

• Virtual social engagements randomly throughout the year

• SWAG, we have some really cool swag

• Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more

Check out all of our a-maze-ing benefits here.

Outreach Notice

We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

.

See yourself at Twilio

Join us as a Staff Design Researcher on our Emerging Technology and Innovation (ETI) team.

About the job

We are seeking a visionary and entrepreneurial Design Researcher passionate about building the future, not just improving the present. In this role, you will lead Horizon 3 innovation—imagining, shaping, and validating breakthrough product concepts that could fundamentally transform the enterprise landscape over the next 3-5+ years.

As part of our team, your mandate is to look beyond current product lines and incremental enhancements. Your goal is to help imagine the future that will exist based on technological advances across AI/ ML, AGI, quantum computing, blockchain and more. Working side-by-side with world-class researchers, engineers, and product managers, you will take bold, unproven ideas from whiteboard to working prototype—navigating ambiguity, systematically de-risking concepts, and driving structured experimentation.

You will help us reimagine future experiences for our customers. Your success will be measured by your ability to identify and validate opportunities that can shape the next era of growth for Twilio—and the broader technology ecosystem.

Responsibilities

In this role, you’ll:

• Define & Lead Research: Lead end-to-end qualitative and quantitative design research across early-stage, exploratory projects; rigorously uncover customer needs, pain points, and emerging trends
• Strategy & Opportunity Framing: Provide thought leadership and frameworks that connect research findings to business and product strategy; help teams prioritize opportunities and guide decision-making
• Synthesize Insights and communicate effectively: Distill complex data into clear, actionable narratives and frameworks for senior executives, product managers, and engineers
• Drive Experimentation: Collaborate with Product and Design to rapidly test new hypotheses via concepts, prototypes, and MVPs
• Customer Advocacy: Represent the voice of the customer in every conversation. Inspire teams to build solutions that surprise and delight customers

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 5+ years of experience in design research, user research, or a related field—preferably with time spent in innovation or new product development environments.
• Proven track record of leading ambiguous, zero-to-one research programs in fast-paced, high-growth tech companies.
• Mastery of a wide array of research methods, from ethnography and contextual inquiry to co-creation workshops and rapid concept validation.
• Experience with qualitative and quantitative data, and ability to easily switch between big-picture thinking and tactical execution.
• Exceptional communication, storytelling, and influence skills—executive presence a must.
• Passion for working on highly cross-functional teams and an entrepreneurial, “builder” mentality.
• Bachelor’s or advanced degree in HCI, Design, Psychology, Anthropology, or a related discipline.

Desired:

• Experience working with AI ML technology and customer engagement platforms
• Experience working in trust, security, or fraud prevention
• Experience guiding innovation in a multi-sided platform environment
• Portfolio or case studies illustrating your impact on breakthrough product or business opportunities

Location

This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00.

• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840000-$187300.00.

• Based in the San Francisco Bay area, California: $166,400.00-$208,000.00

• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Data Scientist, AI/ML

Job Description:

Today’s complex, fast-paced systems have become a minefield of reliability risks, any of which could cause an outage that costs millions and destroys customer confidence. That’s why high-availability teams use Gremlin to find and fix reliability risks before they become incidents.

Gremlin Reliability Platform helps software teams proactively monitor and test their systems for common reliability risks, build and enforce reliability standards, and automate their reliability practices organization-wide. As the industry leader in Chaos Engineering and reliability testing, we work with hundreds of the world’s largest organizations where high availability is non-negotiable.

About the Role of the Data Scientist, AI/ML

As a Data Scientist, AI/ML at Gremlin, you will have the opportunity to improve the reliability of the internet at large by turning millions of chaos engineering experiments into automated failure analysis and remediation. You will be able to leverage your applied machine learning experience to inform product direction as well as solve complex technical problems that directly impact our customers (which range from the Fortune 500 to smaller organizations). You will work closely with a small, talented engineering team focused on quality, delivery, and predictability with an emphasis on providing our customers a great user experience.

In this role, you’ll get to:

• Analyze Gremlin’s proprietary dataset of millions of chaos engineering experiments to identify failure patterns, root causes, and resilience signals across complex distributed systems
• Pretraining and fine-tuning machine learning models that automatically detect, classify, and explain failures observed during chaos experiments
• Build intelligent systems that deliver automated remediation recommendations, and eventually orchestration, by learning from historical experiment outcomes and system behavior
• Develop scalable data pipelines and feature stores to process, enrich, and serve large volumes of experiment data for both model training and real-time inference
• Collaborate closely with platform engineers and SREs to integrate AI-driven failure analysis and remediation capabilities directly into Gremlin’s core product
• Apply advanced techniques, including causal inference, graph ML, time-series modeling, and reinforcement learning, to continuously improve the accuracy and actionability of automated failure analysis
• Translate insights from millions of chaos experiments into AI-powered features that help customers automatically understand blast radius, pinpoint root causes, and accelerate recovery
• Research and productionize novel ML approaches, including causal AI and agentic systems, that turn raw chaos experiment data into automated, reliable remediation strategies

We’ll expect you to have:

• Experience as a self-driven and collaborative problem solver with strong communication skills
• 5+ years professional experience building and productionizing machine learning, ideally for distributed systems, infrastructure, or DevOps and SRE use cases with more overall years of experience in software development.
• Hands-on experience with techniques such as causal inference, graph ML, time-series modeling, or reinforcement learning
• Experience building data pipelines and feature stores that support both offline training and real-time inference
• Experience with agile development environments and practices
• Strong advocate and practitioner of rigorous experimentation, model evaluation, and engineering best practices
• Comfort partnering with platform engineers and SREs to turn research into shipped product features
• Strong at breaking down ambiguous problems into concrete actions and milestones

Bonus Experience:

• Experience with chaos engineering, site reliability engineering, or distributed systems
• Background in agentic AI systems or large-scale causal inference in production
• Experience standing up MLOps tooling such as model serving, monitoring, or feature store infrastructure
• Working in Remote first environments
• Has been on-call and participated in an incident management program

*The role does not offer sponsorship employment benefits.

**If you don’t think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

Compensation

We expect the salary range for this role to be $220,000 - $290,000. We recognize that salary varies from person to person depending on level of experience and we welcome direct conversations about it. The final offer will vary based on assessment of a candidate’s skills and ability and our budget and market data.

Gremlin offers competitive total compensation packages including 401k Matching, Equity and other benefits such as flexible time off and paid company holidays.

About Gremlin:

Gremlin is a team of industry veterans and people eager to learn from one another. We set the standard for reliability and equip leading organizations with the mindset and expertise needed to drive reliability improvements that move the world forward. We’re backed by top-tier investors Index Ventures, Amplify Partners, and Redpoint Ventures. Our customers love us, and we’re thrilled to be a partner in their success.

What Do We Care About:

We Care about our People

People are our critical differentiators. The company strives to treat our people with respect, empathy, and dignity. We expect that our people will treat each other similarly. In both cases, we will assume good intent. All are welcome at Gremlin. We know our differences make us stronger and that our best ideas and contributions can come from anyone at any level.

We Care about Collaboration

Gremlin is strongest when we come together as one team with shared goals. Be the glue, not the glitter. But as a remote company, teamwork and collaboration won’t happen by accident. We approach every challenge as a shared challenge. We rely on each other for diverse perspectives and creative ideas. We celebrate our wins as a team.

We Care about Results

Be high productivity, low drama. Results matter. To keep our pace, everyone owns the outcomes of their actions and takes action when needed. We reward speed over perfection. We empower each other to iterate and experiment. You are welcome at Gremlin for who you are. The more voices and ideas we have represented in our business, the more we will all flourish, contribute, and build a more reliable internet.

Gremlin is a place where everyone can grow and is encouraged. However you identify and whatever background you bring with you, please apply if this sounds like a role that would make you excited to come into work everyday. It’s in our differences that we will find the power to keep building a more reliable internet by building and designing tools used by the best companies in the world.

Visit our website to learn more - https://www.gremlin.com/about

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

.

See yourself at Twilio

Join us as a Staff Design Researcher on our Emerging Technology and Innovation (ETI) team.

About the job

We are seeking a visionary and entrepreneurial Design Researcher passionate about building the future, not just improving the present. In this role, you will lead Horizon 3 innovation—imagining, shaping, and validating breakthrough product concepts that could fundamentally transform the enterprise landscape over the next 3-5+ years.

As part of our team, your mandate is to look beyond current product lines and incremental enhancements. Your goal is to help imagine the future that will exist based on technological advances across AI/ ML, AGI, quantum computing, blockchain and more. Working side-by-side with world-class researchers, engineers, and product managers, you will take bold, unproven ideas from whiteboard to working prototype—navigating ambiguity, systematically de-risking concepts, and driving structured experimentation.

You will help us reimagine future experiences for our customers. Your success will be measured by your ability to identify and validate opportunities that can shape the next era of growth for Twilio—and the broader technology ecosystem.

Responsibilities

In this role, you’ll:

• Define & Lead Research: Lead end-to-end qualitative and quantitative design research across early-stage, exploratory projects; rigorously uncover customer needs, pain points, and emerging trends
• Strategy & Opportunity Framing: Provide thought leadership and frameworks that connect research findings to business and product strategy; help teams prioritize opportunities and guide decision-making
• Synthesize Insights and communicate effectively: Distill complex data into clear, actionable narratives and frameworks for senior executives, product managers, and engineers
• Drive Experimentation: Collaborate with Product and Design to rapidly test new hypotheses via concepts, prototypes, and MVPs
• Customer Advocacy: Represent the voice of the customer in every conversation. Inspire teams to build solutions that surprise and delight customers

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 5+ years of experience in design research, user research, or a related field—preferably with time spent in innovation or new product development environments.
• Proven track record of leading ambiguous, zero-to-one research programs in fast-paced, high-growth tech companies.
• Mastery of a wide array of research methods, from ethnography and contextual inquiry to co-creation workshops and rapid concept validation.
• Experience with qualitative and quantitative data, and ability to easily switch between big-picture thinking and tactical execution.
• Exceptional communication, storytelling, and influence skills—executive presence a must.
• Passion for working on highly cross-functional teams and an entrepreneurial, “builder” mentality.
• Bachelor’s or advanced degree in HCI, Design, Psychology, Anthropology, or a related discipline.

Desired:

• Experience working with AI ML technology and customer engagement platforms
• Experience working in trust, security, or fraud prevention
• Experience guiding innovation in a multi-sided platform environment
• Portfolio or case studies illustrating your impact on breakthrough product or business opportunities

Location

This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00.

• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840000-$187300.00.

• Based in the San Francisco Bay area, California: $166,400.00-$208,000.00

• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

  Job Title: Customer & Sector Insights Lead: Mining Location: Global Location Type: RemoteTravel: 50% Global Travel Website: https://www.wmfts.com/en/Group: https://www.spiraxgroup.com/Applications: https://www.wmfts.com/en/mining/Watson-Marlow Fluid Technology Solutions is part of Spirax Group, a FTSE100 and FTSE4Good...

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian’s departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You’ll have opportunity to:

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
• Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
• Innovate with tools designed for data processing and information retrieval.
• Dissect and document vast datasets, analyzing them to highlight patterns and insights.
• Solve complex challenges by developing impactful algorithms.
• Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.

Qualifications

• PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• 2+ years of experience in AI, data science, or predictive modeling
• Proficiency in multiple programming languages, including Python
• Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
• Experience with large data analysis using pySpark
• Experience with LLMs and the relevant tools in the Generative AI domain.
• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
• Experience modifying and applying advanced algorithms to address practical problems
• Experience with online, mobile marketing analytics
• Experience with GPU programming

Additional Information

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

#LI-Remote

General Information

• Job Code: SHR-PE-04M
• Location: Ripple Effect Headquarters
• Employee Type: Exempt, Full-Time Regular
• Telework: This role is fully remote
• Clearance: Public Trust
• Salary Range: $102,413 to $117,774 per year (how we pay and promote)

Are you passionate about understanding and improving communication strategies? Do you thrive on analyzing data and making impactful recommendations?

Ripple Effect is seeking a Communications Research & Evaluation Manager to lead and deliver high-quality communications research, program evaluations, and evidence-based insights that improve communication strategies and outcomes for our clients. This role combines technical leadership, project management, and team supervision to ensure research and evaluation projects are methodologically sound, completed on time and within budget, and generate actionable recommendations.

Responsibilities

• Conducts comprehensive research on communication messaging and strategies to evaluate effectiveness of communications campaigns.
• Provides technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods).
• Coordinates internal resources and external consultants and vendors to execute evaluation and research studies.
• Ensures projects are delivered on-time, within scope, and within budget and are technically sound and accurate.
• Manages a small research team and provides mentoring and oversight to manage performance.
• Develops a detailed project plan to track progress and manage changes in project scope, schedule and costs.
• Provides expert advice and contribute to technical execution of projects, including data collection, instrument design, report development, analysis and synthesis of findings or other deliverables.
• Synthesize findings from multiple data sources and translate complex results into clear and compelling insights.
• Contributes to proposal writing and technical solutioning for communications research and evaluation projects and may lead technical sections.
• Develop and implement processes and procedures that enhance team efficiency and project effectiveness.
• Establish and maintain quality assurance processes to ensure technical accuracy and integrity across all project activities.
• Performs other job-related duties as assigned.

Minimum Education and Experience

• Bachelor’s degree in social sciences, health, science or any other relevant field

• 10 years’ experience

  • 2 years project management experience
  • 6 years’ experience with evaluation methods (qual/quant/mixed)
  • 2 years focused on communications research

Basic Requirements

• Technical experience with qualitative and quantitative evaluations
• Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook
• Excellent organizational skills and attention to detail
• Project and people management skills in budgeting, resourcing, planning, tasking and risk management
• Ability to communicate results simply and effectively
• Ability to develop strong relationships with clients, stakeholders and external vendors
• Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint.
• Strong attention to detail and demonstrated ability to execute instructions

Skills That Set You Apart

• Master’s or doctoral degree (can substitute for years of experience)
• Experience preparing OMB and IRB clearance packages
• Previous supervisory experience
• Demonstrated ability to keep up with industry trends in communications research and evaluation
• Working knowledge of communications theories
• PMP or other project management certification

About Ripple Effect

Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors.

At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.

Learn more about our benefits and culture here.

Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify.

Headquarters:
URL: http://essa-africa.org

POST TITLE: Consultancy: Design and Implementation of ACSL Impact Studies

PERIOD OF APPOINTMENT: 2026-2030

LOCATION: Sub-Saharan Africa

 

Applicants must have the right to work in their location. 

REPORTING TO: Senior Research, Evaluation and Impact Manager 

SALARY: Competitive - dependent on experience   

ABOUT ESSA

Education Sub Saharan Africa (ESSA) improves education using evidence and data from Africa in research, advocacy and programme design.  
 
We take a systems approach by identifying challenges and co-designing solutions in partnership with local education researchers, education leaders, policymakers, funders and employers to improve education outcomes for young people. Our research generates actionable insights that inform decisions, policies and practice and strengthen education systems.  
 
ESSA’s values are at the heart of everything we do, and they are: 
•    Evidence-driven: We are driven by data and evidence to find what works best, building an evidence alliance for education in sub-Saharan Africa. 
•    Solutions-focused: We seek the highest impact for young people and educators in sub-Saharan Africa with the cost-effective funds we invest.  
•    Strengthening Trust: We strive to create supportive environments, building trust with the communities we work with. 
•    Always learning: Everyone’s opinion is valuable; we develop solutions through teamwork. 
 
To find out more about ESSA, visit essa-africa.org. 

ABOUT THE ROLE

Background and Context

The African Centre for School Leadership (ACSL) was established in 2021 to transform school leadership systems across Africa. The Centre’s mission is to collaborate with governments and regional institutions to provide high-quality, contextualised professional development services, conduct research, and offer policy advice to enhance school leadership, teaching, and student outcomes. By developing school leaders and improving educational practices, ACSL seeks to foster positive changes in the education sector, enhancing learning environments, student well-being, and overall academic quality at national and Pan-African levels. Further details about ACSL can be found on the ACSL website (African Centre for School Leadership).

 

ACSL functions as a coalition of regional and in-country partners implementing donor-funded projects, and four key Pan-African organisations coordinate it: the Association for the Development of Education in Africa (ADEA), Education Sub-Saharan Africa (ESSA), the Forum of African Women Educationalists (FAWE), and VVOB – Education for Development. In partnership with the Mastercard Foundation, ACSL launched the Foundation Phase Project (2023-2024), which spanned Rwanda, Kenya, and Ghana. This initiative focused on two central themes: the intersection of gender and school leadership and the emerging Ubuntu leadership model. These areas guided the Centre's work in promoting inclusive, innovative, and collaborative school leadership practices across the continent. 

 

ACSL is actively engaged in implementing the Leaders in Teaching (LIT) LEAD pillar across Tanzania, Malawi, Liberia, and Sierra Leone. This initiative focuses on strengthening the leadership capacities of secondary school leaders to foster more effective teaching and learning environments. By 2030, the programme aims to benefit over 14,493 secondary schools, including both public and non-state institutions, in LIT expansion countries and throughout the Pan-African region.  

 

Through targeted School Leadership Professional Development (SLPD), school leaders will be better equipped to support teachers and drive improvements in student learning outcomes. The initiative is expected to affect approximately 4,853,564 students enrolled in secondary education. 

 

The initiatives of ACSL-LIT-Lead concentrate on four key areas:  

    1. Supporting the development and reform of evidence-based policies and frameworks for school leadership. 

    2. Supporting the delivery of professional development programmes for school leaders. 

    3. Researching to generate insights on school leadership effectiveness.  

    4. Promoting communication and advocacy to disseminate lessons and enhance sector coordination.

 

ACSL aims to improve learning outcomes and reduce gender and equity disparities in education through enhanced school leadership practices. 

Purpose of the Consultancy 

The Centre seeks to engage an African-led consortium of institutions to provide coordinated technical leadership, methodological rigour, and independent analysis to support the design, implementation, synthesis, and cross-study learning across six potential studies. Further details on the studies can be found: ACSL Impact Studies - Concept Note.

The purpose of this engagement is for the consortium of institutions to: 

• Provide independent technical lead for the design and implementation of the ACSL’s six impact studies. 

• Ensure methodological coherence, quality assurance, and alignment with ACSL’s Theory of Change and the outcomes of the ADEA Triennale in 2025 (See the detailed concept note referenced above for more information; pages 35 to 44).  

• Apply contribution-focused, mixed-methods, and Afrocentric analytical approaches across the portfolio. 

• Generate high-quality evidence products to inform learning, policy influence, and the sustainability of the Centre. 

Required Qualifications and Experience 

Given the multi-country scope, cross-cutting thematic focus, and technical complexity of the six interrelated studies, ACSL strongly encourages applications from qualified consortia of organisations rather than single entities. Applicants are therefore encouraged to form consortia that strategically combine complementary expertise. 

 

ACSL requires the consortium to be African-led. The lead institution must be legally registered and headquartered in Africa, with demonstrated experience leading multi-country evaluation portfolios on the continent.  

 

The consortium model should clearly demonstrate: 

• Defined and complementary roles among partners. 

• Clear governance and coordination arrangements. 

• Mechanisms for quality assurance and methodological coherence across studies. 

• Efficient financial management and accountability structures. 

• Designation of a lead institution responsible for overall portfolio coordination and primary contractual engagement. 

 

Additionally, the consortium team collectively should demonstrate: 

• Proven experience in school leadership and/or education systems evaluation, preferably in Africa. 

• Strong expertise in school leadership, professional development, and policy reform. 

• Demonstrated use of mixed-methods, contribution analysis, and systems evaluation. 

• Experience with gender-transformative and equity-focused research. 

• Strong understanding of Afrocentric and contextually grounded leadership models. 

• Ability to manage multi-country, multi-study evaluation portfolios. 
• Excellent analytical writing and knowledge translation skills. 

Scope of Work

ACSL expects the consortium of institutions to possess complementary expertise, where each member leads or co-leads specific studies aligned with its demonstrated core strengths. The consortium must collectively demonstrate the capacity to deliver all six studies and present a clear framework for executing them as a coherent portfolio, including defined approaches to sequencing, methodological alignment, cross-study learning integration, and quality assurance.  

 

Applicants are advised that the methodology presented in the concept note is indicative and may be used as a guiding framework.  

 

Study Coverage: 

1. Study 1: School leadership practice, data use, and learner outcomes (Tanzania). 

2. Study 2: Gender, equity, and social inclusion in school leadership (Pan Africa & Tanzania). 

3. Study 3: Policy and institutionalisation of school leadership professional development (Pan Africa & Tanzania). 

4. Study 4: Effectiveness of school leadership professional development (Pan Africa & Tanzania). 

5. Study 5: Research capacity, blended learning trajectories, and evidence use (Pan Africa & Tanzania). 

6. Study 6: Collaboration, networks, and formative assessment for ACSL Centre establishment (Pan Africa & Tanzania). 

 

Key Tasks and Responsibilities 

The consortium will be expected to undertake the following tasks:

1. Inception and Design

• Review ACSL programme documentation, Theories of Change, and study concept notes. 

• Review evaluation questions and contribution pathways across the six studies. 

• Develop and/or validate study designs, sampling strategies, and data collection tools. 

• Ensure Afrocentric, gender-responsive, and context-sensitive frameworks are embedded across studies.
• Define clear leadership and technical responsibilities among consortium members for specific studies, while establishing mechanisms for portfolio-level coordination and coherence

 2. Methodological Implementation Support

• Lead the longitudinal, mixed-methods, and contribution-based evaluation approaches through designated lead institutions within the consortium. 

• Embark on network mapping, policy analysis, institutional readiness assessment, and professional development effectiveness analysis. 

• Ensure ethical standards, data protection, and safeguarding protocols are applied. 

• Provide technical oversight to fieldwork coordination (working with partners). 
  

3. Data Analysis and Synthesis

• Analyse quantitative and qualitative data across studies under coordinated leadership arrangements within the consortium. 

• Conduct cross-study triangulation and synthesis. 

• Generate contribution narratives explaining how ACSL interventions influence observed outcomes. 

• Support intersectional analysis (gender, location, disability etc.). 

• Establish internal quality assurance processes to ensure methodological consistency across consortium-led studies. 
  

4. Learning, Adaptation, and Knowledge Translation

• Produce learning briefs and adaptive management insights. 

• Support policy dialogue processes and learning convenings. 

• Collaborate with ACSL to translate findings into policy briefs, practice notes, and advocacy-ready products. 

• Ensure structured cross-learning between consortium members to inform adaptive programme refinement. 

5. Portfolio-Level Integration

• Ensure coherence and complementarity across the six studies. 

• Produce an integrated impact and learning synthesis. 

• Share how the six study outputs will feed into a unified portfolio-wide evidence and learning framework to inform ACSL learning, policy dialogue, and programme adaptation. 

Key Deliverables 

The institution/firm/consortium will be responsible for delivering, at minimum, the following deliverables: 

• Inception and Integrated Portfolio Evaluation Design Report covering all six studies, including the overarching evaluation framework, cross-study analytical approach, and synthesis strategy. 

• Study-Specific Technical Reports and Case Studies (as per agreed scope). 

• Mid-term Learning and Adaptive Management briefs. 

• Final Integrated Impact, Learning, and Contribution Synthesis Report. 

• Policy, Practice, and Centre Products, including briefs and a roadmap for the ACSL Centre. 

Duration and Level of Effort

• The consultancy is expected to run over a multi-year period (2026–2030), aligned with the timing of the six studies (as indicated in the ACSL Impact Study Concept Note). 

• Level of effort will be phased and agreed during inception, with peaks during design, midline reviews, and final synthesis with clear allocation of responsibilities across consortium members. 

 

Reporting and Coordination

• The institution/firm/consortium that is awarded the contract will report to the Senior Research Evaluation and Impact Manager at ESSA, with a dotted line to the ACSL Head of Research. 

• Work will be coordinated closely with ACSL partners (ADEA, ESSA, FAWE, VVOB, Education for Development) and national stakeholders. 

• Agreed timelines for progress updates and learning check-ins will be required. 

• The consortium must demonstrate a clear internal governance structure to ensure effective coordination and accountability. 
  

Ethical Considerations

The consortium must: 

• Adhere to ethical research standards. 

• Ensure informed consent and confidentiality. 

• Apply safeguarding and data protection protocols. 

• Demonstrate sensitivity to power dynamics and institutional contexts. 

 

Application and Selection Criteria

Interested consortia/firms should submit: 

• Technical proposal outlining approach, methodology, and work plan. 

• Team composition and CVs. 

• Relevant organisational and team experience. 

• Financial proposal (must be submitted using the provided ACSL Budget Template: ACSL Impact Studies - Budget Template). Proposals not aligned with the template may be considered non-responsive. Please consult the Budget Guidance Note for guidance on completing the budget template: ACSL Impact Studies - Budget Guidance Note.
  

• Samples of similar assignments.
  

Selection will be based on technical quality, relevance of experience, methodological robustness, and value for money. 

ACSL Pre-application Information Webinar

Interested institutions/consortium/firms are requested to carefully review all the provided documents, including the Frequently Asked Questions (FAQs). If, after reviewing the documents, you require further clarification, please submit your queries: ACSL Impact Studies - Enquiries Form. All questions must be submitted by 11 May 2026 at 0900 hrs GMT. 

 

ACSL will host an information webinar to provide additional clarification on the Impact Study and respond to submitted queries. Details of the webinar are provided below. 

 

• Date: 15th May 2026 

• Time: 1000hrs – 1200hrs GMT | 1300hrs – 1500hrs EAT 

 

To attend, please register via this link: Zoom registration link.

 

How to apply

Applicants are encouraged to submit their applications after the information session.

 

Please ensure that all your application documents are saved using your given name and surname. For example, Firstname.Surname Technical Proposal. The closing date for applications is 20th July 2026 at 0900hrs GMT 

Expected start date

The consortium engagement is expected to commence in October 2026, subject to contracting and finalisation of scope. 

Equality & Diversity

The importance of equality, diversity, and inclusion (EDI) underpins our mission and values at ESSA. We prioritise inclusion and celebrate the breadth of knowledge and experience working across diverse cultures brings to the organisation.

 

EDI at ESSA is embodied in the current composition of our Board of Trustees and our workforce, which strongly reflects the communities we work in, and we actively encourage applications from people of all backgrounds and cultures.

To apply: https://weworkremotely.com/remote-jobs/education-sub-saharan-africa-consultancy-design-and-implementation-of-acsl-impact-studies

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

Advance AbbVie’s pipeline by striving for excellence in clinical research, turning science into medicine for our patients and leveraging advanced capabilities to drive industry leading performance.

Partners with study teams, AbbVie internal R&D stakeholders, investigators, and site staff for meaningful and effective engagements positioning AbbVie as the partner of choice in clinical trials.

Focus on site clinical research that ensures appropriate conduct of the trial while driving improvement in data integrity, compliance, overall study performance and customer experience.

Responsibilities

List up to 10 main responsibilities for the job. Include information about the accountability and scope.

• “Considered as the Pprimary Sponsor pPoint of contact for the investigative site. Advanced level of competency or experience in providing contextual information on the clinical trials, connecting stakeholders to the investigative sites and strengthening Abbvie’s positioning.

Ability to motivate and align monitoring community through leadership and mentorship.”

• Aligns, trains and motivates the site staff and principal investigator on the goals of the clinical trial program, protocol, and patient treatment principles for the trial ensuring a trusted partnership. Able to support, guide, and mentor junior personnel on Site Management activities.
• “Conducts site evaluation, site training, routine on-site and off-site monitoring, and site closure monitoring activities with compliance to the protocol and monitoring plans, in accordance with applicable regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and quality standards, ensuring safety and protection of study subjects.
• Superior understanding of site engagement and ability to customize site engagement strategy for assigned study/ies and critically apply new strategies as needed. Gather local/site insights and utilize site engagement tools to report/track progress and measure impact of that strategy.
• Superior level of competency connecting the study protocol, scientific principles and clinical trial requirements to the day-to-day clinical trial execution activities. Expert understanding to generate and ensure effective recruitment and retention techniques/plans based on the patient disease journey.

Develop solid knowledge of therapeutic area, asset and clinical landscape / patient journey to enable successful patient recruitment and overall protocol compliance.”

• Possesses advanced level of competency to mentor and train less experienced CRAs on various aspects of work and provides input into their development. Supports local onboarding of more junior CRAs. Demonstrates ability to openly listen to and consider viewpoints to enhance outcomes.
• May participate/lead in global/local task forces and initiatives. Responsible for activities as assigned by manager.

“

• Responsible for continuous risk-assessment proactively, and in collaboration with Central Monitoring team, monitor activities conducted by clinical sites to detect early overall study performance or patient safety issues. Superior ability to think critically to resolve site risk signals while having robust understanding of site processes to drive study execution. Ensures preventative and corrective action plans are put into place, as needed, to mitigate risk and promote compliance using a cust
• Independently Identifies, evaluates and recommends new/potential investigators/sites on an on going basis demonstrating expert understanding and decision making. Potential sites may be identified through networking or internal AbbVie requests to assist in the placement of planned clinical studies with qualified investigators.
• Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel. Ensures audit and regulatory inspection readiness at assigned clinical site at all times. Manages investigator payments as per executed contract obligations, as applicable.

Qualifications

• Appropriate tertiary qualification in health related disciplines (e.g., Medical, Scientific, Pharmacy, Nursing) preferred.
• Minimum of 3 years of clinically related experience, of which a period of 2 years is preferable in independent clinical research monitoring of investigational drug or device trials in any therapeutic area. Familiar with risk‐based monitoring approach, onsite and offsite monitoring.
• Knowledge of appropriate therapeutic area indications with the ability to understand and apply scientific concepts as they relate to the conduct of clinical trials
• Superior knowledge on existing and emerging local regulatory and legal requirements, ICH/GCP Guidelines and applicable policies.
• Demonstrate advanced communication skills and superior cross-functional collaboration skills among internal and external stakeholders.
• Demonstrate superior planning and organizational skills and the ability to work effectively and efficiently in a dynamic environment with competing projects and deadlines.
• Superior ability to leverage technology, tools and resources to provide customer centric support based on the health of the site.
• Superior interpersonal skills with excellent written, verbal, active listening and presentation skills, with ability to establish and leverage site relationships and trusted partnerships through engagement, motivation, and training.
• Ability to independently use functional expertise, leverage critical thinking skills and apply good judgement to address clinical site issues
• Acts with integrity in accordance with AbbVie code of business conduct and leadership values. Self-motivated individual focused on delivering timely and quality outcomes in a fast-paced environment.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount isearned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolutediscretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.

About Honor

Our mission is simple: change the way we care for our parents so they can age safely at home.

How we accomplish that mission is anything but simple. Delivering reliable home care requires coordinating people, schedules, geography, skills, preferences, and changing needs across a complex operating environment.

Honor combines technology, operations, and the local expertise of our partner agencies to improve how care is delivered at scale. Our platform supports the caregivers who provide care, the teams who coordinate it, and the families who depend on it.

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges.

About the role

You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions.

This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes.

You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach.

What you’ll do

• Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.
• Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability.
• Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work.
• Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration.
• Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
• Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

Examples of problems you may solve

• Improving caregiver-client matching while balancing fit, continuity, availability, and travel.
• Building more reliable and sustainable schedules for caregivers and clients.
• Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact.

About you

• 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams.
• Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes.
• Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all.
• Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight.
• Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems.
• Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor.
• Can communicate clearly with technical, operational, and executive audiences.
• Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view.
• Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture.

Helpful experience

Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation.

A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact.

Why this role is different

Many companies have interesting datasets. Honor has a dynamic operating environment in which technical decisions directly affect caregivers, care teams, families, and older adults. The opportunity is to build systems that do more than predict outcomes. They will help Honor decide what to do next, execute more effectively, and continuously learn from the results.

Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.

Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.

Hiring Salary Range

$228,600—$254,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

About the role:Gartner Analysts are industry thought leaders who create must-have insights, market predictions and best practices for a broad range of world-leading organizations.

Applied Scientist (Integrity)

Prolific is building the human data infrastructure that powers the next generation of AI systems. As frontier AI labs scale their use of human-generated data for training, evaluation, and alignment, the way we measure quality, performance, and operational efficiency becomes increasingly important.

The Role

You’ll join Prolific’s Integrity team, which protects the platform from fraud and misuse. This is a new role focused on verification - in particular identifying and validating high quality expert participants. This is an emerging area, so part of the role will be to shape the problem space:  working with other teams to find,validate and model useful signals for participant quality. The ideal candidate will help define the right problems to solve, not just execute against a fixed brief.

The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. This isn’t a pure research role, although you may explore papers and explore new ideas. The focus is on turning promising approaches into production ready solutions. It is also not an ML engineering role: you don’t need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production, not ones that are too slow or expensive to run, and about the judgement to tell the difference.

How You’ll Work

• You’ll be the first data person in this area, so you’ll help shape the role and create structure where there isn’t much yet, with support from leadership. You don’t need to have all the answers on day one.
• You spot problems worth solving and start on them, rather than waiting to be assigned.
• You will be comfortable (and ideally enjoy) collaborating with others.

What We are looking for

• Deep expertise in one applied ML, statistics, or data science specialism. Examples could be risk modelling, LLM detection, and reinforcement learning, but any area of genuine depth counts
• Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches.
• 3+ years applying ML, AI research, or data science to real problems.
• Python skills sufficient to build, test, and iterate on working prototypes independently.
• Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics.
• You must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do.

Nice to have

• An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way.
• Experience working alongside product and engineering teams.

Why Prolific is a great place to work

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Links to more information on Prolific

Benefits

External Handbook

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific’s Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

• Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
• Communicating with fellow data scientists, product owners, and developers
• Applying best software engineering practices to build a reliable codebase
• Performing code reviews
• Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

• 4+ years of experience in AI,  Data Science, and Machine learning
• Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
• Experience in building complex multipart and multistep LLM-based and ML systems
• Proficiency in Python (including pure Python, and not only jupyter notebooks)
• Experience in using reproducible research techniques
• Experience in developing AI solutions for production usage
• Full professional proficiency in English

Standout Qualities:

• Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
• Confident statistical and machine learning skills
• Experience in creating core AI systems that are foundational to the product and are used in many parts of it
• Experience in classical software development and architecture

Interpersonal skills:

• Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
• You are proactively pushing yourself to develop your skills and knowledge
• Decision making and argumentation skills
• Open to feedback and ready to react on it
• Ability to work autonomously on a project level

Our Work Style:

• Code: Python, Jupyter, mypy, uv, black, flake8
• Data: pandas, SQL, BigQuery
• GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
• LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
• ML: scikit-learn, lightgbm, pytorch
• Cloud: GCP, Dagster, MLFlow
• Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.