Location
London (Hybrid: minimum 25% office presence expected)

Hours
Full Time

Salary
£180,000 - £190,000 GBP per annum

About the Role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic impact and explore research-driven policy interventions. You will contribute to the development and regional extension of the Anthropic Economic Index, establish new methodologies to measure AI usage, diffusion, and impact, and broaden access to insights generated by the Index.

You will apply frontier methods in econometrics, machine learning, and structural estimation to drive impactful research that shapes policy discussions and informs Anthropic’s internal business and product decisions. The role involves building first-of-its-kind datasets tracking AI's effects on labor markets, productivity, and economic transformation, leveraging a privacy-preserving measurement system analyzing millions of real-world AI interactions.

Key responsibilities include building and maintaining relationships with academic and policy partners, advancing region-specific research collaborations, translating insights into actionable policy recommendations, contributing to the Anthropic Economic Index development, designing empirical research on AI’s economic effects, developing new methodological approaches for studying labor markets, productivity, inequality, industry disruption, and aggregate economic trajectories, working cross-functionally to improve measurement infrastructure, and amplifying external engagement through publications and presentations.

Experience
- PhD in Economics
- Strong track record of empirical research combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
- Demonstrated experience and relevant relationships across the region
- Expertise relevant to AI’s economic impact including labor market analysis, task-based technological transformation, large-scale data analysis, econometric methods, large language models for social science, policy-relevant economic research, experimental/quasi-experimental methods, macroeconomic modeling, and agent-based modeling or simulation
- Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
- Experience working with novel datasets and measurement systems
- Ability to lead complex research projects from conception to publication
- Strong communication skills to convey technical findings to diverse audiences
- Proven ability to build relationships across academic, policy, and industry communities

About you
- Strong interest in ensuring AI development benefits humanity
- Comfortable working with AI systems and critically evaluating their capabilities and limitations
- Collaborative mindset and commitment to impactful, rigorous research at the intersection of economics, technology, and policy

Qualifications
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field
- PhD in Economics required