Regional Research Economist, Economic Research

About the role

Anthropic is looking for a Regional Research Economist to work in Sydney. 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. You will contribute to the Anthropic Economic Index and its regional extensions, develop new methods to measure AI usage and impact, and use frontier methods in econometrics, machine learning and structural estimation.

Key responsibilities

• Build and maintain relationships with academic institutions, policy think tanks and research partners as the main contact for 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
• Contribute to the development and expansion of the Anthropic Economic Index, including country- and regional analysis
• Design empirical research on AI's economic effects with governments, academia, industry and civil society
• Develop new methods for studying AI's impact on labor markets, productivity, inequality, industry disruption and aggregate economic trajectories
• Work with technical teams to improve measurement infrastructure and data collection
• Publish research, write policy briefs and present to stakeholders

Required profile

• PhD in Economics
• Strong track record of empirical research, especially combining novel data sources with economic theory or using frontier methods in causal inference and machine learning
• Demonstrated experience in the region and relevant relationships across it
• Ability to lead complex research projects from conception to publication
• Ability to communicate technical findings to diverse audiences and build relationships across academic, policy and industry communities
• Preferred: experience with AI's economic impact, large-scale data analysis, econometrics, causal inference, macroeconomic modeling, or working with novel datasets and measurement systems

Required skills

• Proficiency in Python, R, SQL or similar tools for large-scale data analysis
• Econometrics, causal inference and machine learning methods

What we offer

• Competitive compensation and benefits, optional equity donation matching
• Generous vacation and parental leave, flexible working hours
• Visa sponsorship offered where possible, with an immigration lawyer supporting the process