People Research Scientist

Anthropic•San Francisco, CA

18h•$245,000 - $310,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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