<div class="content-intro"><h2>About Anthropic</h2> 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.</div><h2>About the Role:</h2> 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. <h2 class="heading">Responsibilities:</h2> Research Design & Scientific Inquiry <ul> <li> Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health </li> <li> Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods </li> <li> Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives </li> <li> Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps </li> <li> Navigate research ethics considerations when studying employee data, ensuring responsible research practices </li> </ul> Employee listening & survey research <ul> <li> Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys </li> <li> Apply psychometric methods to validate survey instruments and ensure measurement reliability </li> <li> Translate survey findings into strategic recommendations that drive meaningful organizational change </li> </ul> Manager research & organizational effectiveness <ul> <li> Conduct research on manager behaviors, competencies, and their impact on team outcomes </li> <li> Build measurement frameworks to evaluate and improve manager effectiveness programs </li> <li> Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes </li> </ul> Visualization & communication <ul> <li> Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences </li> <li> Present research findings to senior leadership with clear, actionable recommendations </li> <li> Develop self-service analytics capabilities that empower People team partners </li> </ul> <h2 class="heading">You may be a good fit if you:</h2> <ul> <li> 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 </li> <li> Have 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise </li> <li> Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference </li> <li> Are comfortable working in the People Analytics tech stack and collaborating with data engineers </li> <li> Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning </li> <li> Have experience with survey design, psychometric methods, and employee listening programs </li> <li> Have experience with data visualization and can tell compelling stories with research findings </li> <li> Possess excellent communication skills and can influence stakeholders at all levels </li> <li> Thrive in ambiguity and can balance rigor with pragmatism </li> <li> Have a track record of challenging assumptions with data and changing long-held practices </li> <li> Can navigate sensitive topics diplomatically while maintaining analytical rigor </li> <li> Demonstrate intellectual humility and comfort with iterative discovery </li> <li> Use data to improve how organizations develop and support their people </li> </ul> <h2 class="heading">Strong candidates may also have:</h2> <ul> <li> Background in people analytics specifically (not just general analytics) </li> <li> Experience designing and analyzing employee engagement or pulse surveys </li> <li> Deep knowledge of manager effectiveness research and organizational science </li> <li> Experience building self-service analytics tools or dashboards </li> <li> Understanding of employee lifecycle metrics and people KPIs </li> <li> Previous experience in high-growth technology companies or AI/ML organizations </li> <li> Familiarity with network analysis, NLP, or advanced statistical methods </li> <li> Experience with BigQuery and modern data stack tools </li> <li> Experience with Qualtrics </li> <li> Experience with Workday </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div><div class="title">Annual Salary:</div><div class="pay-range">$245,000—$310,000 USD</div></div></div><div class="content-conclusion"><h2>Logistics</h2> 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 Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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 do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit <a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a> directly for confirmed position openings. <h2>How we're different</h2> We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. <h2>Come work with us!</h2> Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process</div>

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