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Anthropic

Research Economist, Economic Research

Measures AI's economic impacts through the Anthropic Economic Index using econometrics, ML, and novel data. Conducts empirical research on labor markets, productivity, inequality; requires PhD in Economics and strong empirical track record.

320k – 405kSan Francisco, CAData ScienceHybrid
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About the role

Responsibilities

  • Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives
  • Design and conduct empirical research on AI's economic effects, drawing on external data sources and privacy-preserving measurement systems
  • Develop new methodological approaches 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
    • Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
  • Develop causal-inference tooling (e.g., surrogate indexes, heterogeneous-effect pipelines) to evaluate downstream economic consequences of compute, product, and pricing decisions
  • Build and maintain relationships with academic institutions, policy think tanks, and other research partners
  • Work cross-functionally with technical teams to improve measurement infrastructure and data collection
  • Translate research insights into actionable recommendations for product decisions and policy discussions
  • Amplify external engagement through research publications, policy briefs, and presentations

You May Be a Good Fit If You Have

  • PhD in Economics
  • Strong track record of empirical research, particularly combining novel data sources and economic theory or frontier methods in causal inference and machine learning
  • Experience 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 research, experimental/quasi-experimental methods, macroeconomic modeling, agent-based modeling
  • Technical skills including:
    • Proficiency in Python, R, SQL or similar for large-scale data analysis
    • Experience with novel datasets and measurement systems
    • Comfort learning new technical tools and frameworks
  • Demonstrated ability to lead complex research projects, communicate technical findings, build relationships across communities
  • Strong interest in ensuring AI benefits humanity; comfort working with AI systems

Skills

PythonRSQLEconometricsMachine LearningCausal InferenceStructural EstimationLLMsTime Series ForecastingAgent-Based Modeling

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