Research Economist at Anthropic responsible for measuring and understanding AI's effects on the global economy. The role involves developing the Anthropic Economic Index, applying advanced econometric and machine learning methods, and leveraging privacy-preserving measurement systems to analyze AI interactions. The Economist will translate research insights into actionable recommendations for product and policy decisions while collaborating with academic partners and cross-functional teams.
Research Economist, Economic Research at Anthropic
On-site - San Francisco, CA, USA
More jobs at AnthropicSalary
USD 300,000 - 405,000
Requirements
Skills
- PhD in Economics
- Strong track record of empirical research combining novel data sources and economic theory or frontier methods in causal inference and machine learning
- Experience studying AI’s impact on the economy including labor market analysis, task-based approaches to technological transformation, large-scale data analysis, econometric methods, large language models, policy-relevant research, experimental and quasi-experimental methods for causal inference, macroeconomic modeling and agent-based modeling
- Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
- Experience with novel datasets and measurement systems
- Comfort learning new technical tools and frameworks
- Demonstrated ability to lead complex research projects, communicate findings, and build relationships across academic, policy, and industry communities
- Strong interest in ensuring AI development benefits humanity
- Comfort working with AI systems and thinking critically about their capabilities and limitations
Responsibilities
- 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 privacy-preserving measurement systems
- Develop new methodological approaches for studying AI's impact on labor markets, productivity and task transformation, economic inequality, industry disruption, and aggregate economic trajectories
- Develop causal-inference tooling to evaluate downstream economic consequences of compute, product, and pricing decisions
- Build and maintain relationships with academic institutions, policy think tanks, and other research partners
- Work cross-functionally with technical teams to improve measurement infrastructure and data collection
- Translate research insights into actionable recommendations for product decisions and policy discussions
- Amplify external engagement through research publications, policy briefs, and presentations
Technologies
PythonRSQLCliolarge-scale data analysis toolsmeasurement systems
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