Research Economist, Economic Research

🕒 June 24

🏄 California – Remote

🏄 California – Remote

💵 $300k - $405k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Anthropic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.

📋 Description

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives • Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally • Develop new methodological approaches for studying AI's impact on: • Labor markets and the future of work • Productivity and task transformation • Economic inequality and displacement • Industry-specific disruption and adaptation • Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios • Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions • Build and maintain relationships with academic institutions, policy think tanks, and other research partners • Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection • Translate research insights into actionable recommendations for both product decisions and policy discussions • Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

🎯 Requirements

• PhD in Economics • Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning • Experience relevant to the study of AI’s impact on the economy, including: • Labor market analysis and occupational change • Task-based approaches to technological transformation • Large-scale data analysis and econometric methods • Large language models for social science research • Policy-relevant economic research • Experimental and quasi-experimental methods for causal inference • Macroeconomic modeling and time series forecasting • Agent-based modeling or large-scale simulation • Technical skills including: • Proficiency in Python, R, SQL, or similar tools for large-scale data analysis • Experience working with novel datasets and measurement systems • Comfort learning new technical tools and frameworks • Demonstrated ability to: • Lead complex research projects from conception to publication • Communicate technical findings to diverse audiences • Build relationships across academic, policy, and industry communities • Strong interest in ensuring AI development benefits humanity • Comfort working with AI systems and ability to think critically about their capabilities and limitations.

🏖️ Benefits

• Competitive compensation and benefits • Optional equity donation matching • Generous vacation and parental leave • Flexible working hours • Lovely office space in which to collaborate with colleagues