Regional Research Economist, Economic Research

About the role

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.

What you'll do

• 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

Benefits

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