People Research Scientist

Anthropic•San Francisco, CA

12h•Hybrid

About The Position

Anthropic is seeking a People Research Scientist to join their People Data Solutions team. This role will serve as the research expert for the People organization, utilizing rigorous scientific methods to deepen the understanding of employee experience, manager effectiveness, organizational health, and workforce dynamics. The position is at the intersection of organizational science, behavioral research, and people strategy, focusing on developing new frameworks and conducting systematic research to inform evidence-based people decisions within a growing organization. This role presents an opportunity to significantly influence both 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.