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Applied Scientist, Product Policy

OpenAI

Applied Scientist, Product Policy is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $207k–$230k. Sourced from the company's public Ashby board. First seen 10 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$207k–$230k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
10 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team The Product Policy research team studies how people use and experience AI, generating evidence to inform product, policy, and safety decisions.

  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $207k–$230k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 10 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the Team The Product Policy research team studies how people use and experience AI, generating evidence to inform product, policy, and safety decisions. We partner with researchers, data scientists, engineers, and cross-functional teams to understand AI’s effects on people’s lives, including well-being, youth experiences, and social and emotional use. About the Role We’re looking for an Applied Scientist to help design, execute, and analyze large-scale longitudinal research on AI use and well-being. You’ll work closely with research leads to translate scientific questions into rigorous studies, combining survey responses with behavioral data to understand how people’s experiences with AI evolve over time. This is a hands-on role spanning applied analysis, research methods, and study execution. You’ll build reproducible analytical workflows, assess data quality and representativeness, and help establish reliable infrastructure for ongoing panel research. Your work will support research involving teens and adults, including studies of AI companionship, and help turn findings into useful evidence for product, policy, and safety partners. In this role, you will: - Partner with research leads to develop study designs, survey measures, and analysis plans for longitudinal research on AI use and well-being. - Conduct statistical analyses of survey and behavioral data, including evaluating selection and response bias, account-linkage patterns, and sample representativeness. - Prepare and validate analysis-ready datasets, implement analysis plans, and produce clear summaries and visualizations using reproducible workflows. - Develop quality checks across survey programming, fieldwork, data delivery, and repeated study waves to identify inconsistencies and improve research reliability. - Own day-to-day study execution, coordinating timelines, vendors, and cross-functional dependencies to deliver high-quality research on schedule. - Collaborate with data engineering and privacy partners on responsible account linkage, data flows, logging, and retention. - Support human-subjects research review, including Institutional Review Board (IRB) documentation, protocol amendments, and consent and assent processes. - Maintain clear documentation of methods, measures, assumptions, and protocol changes, and contribute analysis and methodological materials for research readouts, publications, and peer review. - Communicate findings, limitations, and pr

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