Regional Research Economist, Economic Research
Anthropic · Posted Nov 2
AI research, large language models, safety frameworks, and conversational assistant services
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About the role
Anthropic's Economic Research team combines rigorous empirical methods with novel measurement approaches, building first-of-its-kind datasets that track AI's impact on labor markets, productivity, and economic transformation using the privacy-preserving Clio measurement system. The team analyzes millions of real-world AI interactions to understand how AI augments and automates work across occupations and tasks. This role collaborates with governments, academia, industry, and civil society in the region to measure AI's economic effects, extend the Anthropic Economic Index with regionally relevant insights, and translate findings into policy recommendations.
What you will 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
Skills used in this role
What the employer is looking for
- 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 and support
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
About Anthropic
Anthropic is an AI safety and research company that builds reliable, interpretable, and steerable artificial intelligence systems. Its flagship product line is Claude, a family of advanced large language models utilized globally for enterprise automation, coding, and knowledge work. Dedicated to responsible scaling, the public benefit corporation focuses heavily on aligning frontier AI with human values.
- Industry
- Artificial Intelligence
- Company size
- 5001-10000 employees
- Founded
- 2021
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $119B raised
- 2021-05-31Series A$124M
- 2022-04-01Series B$580M
- 2023-05-01Series C$450M
- 2024-03-01Series D$1.2B
- 2025-03-01Series E$3.5B
- 2025-09-01Series F$13B
- 2026-02-12Series G$30B
- 2026-05-28Series H$65B
Leadership
Co-Founder and Chief Executive Officer
Co-Founder and President
Chief Financial Officer
Chief Technology Officer
Co-Founder and Chief Science Officer
Recent coverage
Decrypt
Anthropic Makes IPO Filing Public, Plans Nasdaq Listing Under 'ANT'2026-11-03
AP News
Anthropic posts $17B quarterly revenue but losses continue ahead of IPO2026-11-02
Gizmodo
Anthropic Claims to Be Closing in on Recursive Self-Improvement2026-11-02
Gizmodo
Anthropic Is Betting Nearly $900 Billion That the AI Boom Won't Bust2026-11-02