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Anthropic is seeking a Regional Research Economist to collaborate with governments, academia, industry, and civil society in the Asia-Pacific region to measure and understand AI's economic effects and explore research-driven policy interventions.
In this role, you will contribute to the development and regional extension of the Anthropic Economic Index, establishing new methodologies to measure AI usage, diffusion, and economic impact. You will use frontier methods in econometrics, machine learning, and structural estimation to drive both external policy impact and inform Anthropic's internal business and product decisions.
Key responsibilities include:
- Building and maintaining relationships with academic institutions, policy think tanks, and research partners as the primary regional contact for economic impact work
- Advancing research collaborations addressing country- or regional-specific economic impact questions
- Translating research insights into actionable policy recommendations
- Making fundamental contributions to the Anthropic Economic Index, including country- and regional-specific analysis
- Designing and collaborating on empirical research on AI's economic effects with diverse stakeholders
- Developing new methodological approaches for studying AI's impact on labor markets, productivity, task transformation, economic inequality, industry-specific disruption, and aggregate economic trajectories
- Working cross-functionally with technical teams to improve measurement infrastructure and data collection
- Amplifying external engagement through research publications, policy briefs, and presentations
The team combines rigorous empirical methods with novel measurement approaches, building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation using Anthropic's privacy-preserving measurement system (Clio).
Minimum qualifications:
- PhD in Economics
- Strong track record of empirical research, particularly studies combining novel data sources with economic theory or implementing frontier methods in causal inference and machine learning
- Demonstrated experience working in and relevant relationships across the Asia-Pacific 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 studying AI's economic impact (labor market analysis, occupational change, task-based approaches, large-scale data analysis, econometric methods, LLMs for social science, policy-relevant economic research, experimental/quasi-experimental methods, macroeconomic modeling, agent-based modeling)
- 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
