Description
Job Summary
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions.
Key Responsibilities
- Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
- Advance research collaborations that answer country- or regional-specific economic impact questions
- Translate research insights into actionable recommendations for policy discussions
- Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including country- and regional-specific analysis
- Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
- Develop new methodological approaches, in collaboration with partners in your region, 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; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
- Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
- 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 implementing frontier methods in causal inference and machine learning
- Demonstrated experience working in, and relevant relationships across, the region
- Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
- Demonstrated ability to lead complex research projects from conception to publication
- Demonstrated ability to communicate technical findings to diverse audiences
- Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred Qualifications
- Experience relevant to the study of AI's impact on the economy, such as 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; or agent-based modeling and large-scale simulation
- Experience working with novel datasets and measurement systems
- Comfort learning new technical tools and frameworks
- Strong interest in ensuring AI development benefits humanity
- Comfort working with AI systems and ability to think critically about their capabilities and limitations