People Research Scientist, People

Job Application for People Research Scientist, People at Anthropic

Back to jobs New People Research Scientist, People New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

We are seeking a People Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our broader People organization, using rigorous scientific methods to advance our understanding of the employee experience, manager effectiveness, organizational health, and workforce dynamics. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.

This role offers the opportunity to make a significant impact on both our people practices and the broader field of people science at a leading AI safety company.

Responsibilities:

Research Design & Scientific Inquiry

Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health

Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods

Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives

Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps

Navigate research ethics considerations when studying employee data, ensuring responsible research practices

Employee listening & survey research

Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys

Apply psychometric methods to validate survey instruments and ensure measurement reliability

Translate survey findings into strategic recommendations that drive meaningful organizational change

Manager research & organizational effectiveness

Conduct research on manager behaviors, competencies, and their impact on team outcomes

Build measurement frameworks to evaluate and improve manager effectiveness programs

Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes

Visualization & communication

Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences

Present research findings to senior leadership with clear, actionable recommendations

Develop self-service analytics capabilities that empower People team partners

Minimum Qualifications:

Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field

Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference

Are comfortable working in the People Analytics tech stack and collaborating with data engineers

Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning

Have experience with survey design, psychometric methods, and employee listening programs

Have experience with data visualization and can tell compelling stories with research findings

Possess excellent communication skills and can influence stakeholders at all levels

Thrive in ambiguity and can balance rigor with pragmatism

Have a track record of challenging assumptions with data and changing long-held practices

Can navigate sensitive topics diplomatically while maintaining analytical rigor

Demonstrate intellectual humility and comfort with iterative discovery

Use data to improve how organizations develop and support their people

Preferred Qualifications:

5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise

Background in people analytics specifically (not just general analytics)

Experience designing and analyzing employee engagement or pulse surveys

Deep knowledge of manager effectiveness research and organizational science

Experience building self-service analytics tools or dashboards

Understanding of employee lifecycle metrics and people KPIs

Previous experience in high-growth technology companies or AI/ML organizations

Familiarity with network analysis, NLP, or advanced statistical methods

Experience with BigQuery and modern data stack tools

Experience with Qualtrics

Experience with Workday

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $275,000 - $370,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if...