People Research Scientist, People

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 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. 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. Be comfortable working in the People Analytics tech stack and collaborating with data engineers. Be 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. Compensation Annual Salary: $285,000—$380,000 USD. Location 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 sponsor visas. We will make every reasonable effort to get you a visa if we make you an offer. 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. #J-18808-Ljbffr