People Research Scientist
Anthropic · San Francisco, CA | New York City, NY · People
About this role
Anthropic is hiring a mid-level Research Scientist in the machine learning function based in San Francisco, CA | New York City, NY. The posting calls out experience with Python, R, SQL, BigQuery. Compensation is listed at $245,000–$310,000 per year.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY
- Department
- People
More roles at Anthropic
Job description
from Anthropic careersAbout 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
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Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health
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Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods
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Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives
This is an excerpt. Read the full job description on Anthropic careers →