Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are looking for a People Research Scientist to support our People Data Solutions team, applying rigorous scientific methods to advance understanding of employee experience, manager effectiveness, organizational health, and workforce dynamics. This role offers the opportunity to make a significant impact on our people practices and the broader field of people science at a leading AI safety company.
People Research Scientist, People at Anthropic
On-site - San Francisco, CA
More jobs at AnthropicSalary
USD 285,000 - 380,000
Requirements
Skills
- Advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
- Experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference
- Proficient in SQL and Python/R with experience in statistical analysis and machine learning
- Experience with survey design, psychometric methods, and employee listening programs
- Data visualization skills to tell compelling stories
- Excellent communication skills and ability to influence stakeholders at all levels
- Ability to navigate ambiguity and balance rigor with pragmatism
- Experience navigating sensitive topics with analytical rigor
- Intellectual humility and iterative discovery mindset
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
- Perform meta-analyses of people interventions across the industry
- Navigate research ethics considerations when studying employee data
- Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys
- Apply psychometric methods to validate survey instruments
- Translate survey findings into strategic recommendations
- 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 such as team composition and collaboration patterns
- Build compelling visualizations and dashboards to communicate research findings
- Present research findings to senior leadership with actionable recommendations
- Develop self-service analytics capabilities that empower People team partners
Technologies
SQLPythonRBigQueryQualtricsWorkdayData visualization toolsNetwork analysisNLPAdvanced statistical methods
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