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      <externalid>d9da00f5-0b0</externalid>
      <Title>Transformative AI Research Economist, Economic Research</Title>
      <Description><![CDATA[<p>As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent.\n\nYou will ground projections in microeconomic signals from the Anthropic Economic Index , usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement , so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity.\n\nOur team combines rigorous empirical methods with novel measurement approaches. We&#39;re building first-of-its-kind datasets tracking AI&#39;s impact on labor markets, productivity, and economic transformation.\n\nResponsibilities:\n\n<em> Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution\n</em> Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories\n<em> Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation\n</em> Analyze questions of income distribution and economic governance under transformative-AI scenarios\n<em> Contribute to the development of AI-powered research tools for economics\n</em> Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise\n<em> Build and maintain relationships with academic institutions, policy think tanks, and other research partners\n</em> Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders\n\nYou May Be a Good Fit If You Have:\n\n<em> PhD in Economics, or an exceptional candidate close to completion\n</em> Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics\n<em> A research record that engages seriously with the possibility of transformative AI , you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against\n</em> Relevant experience in some of:\n\n<em> Macroeconomic modeling and structural estimation\n</em> Scenario-based and time-series forecasting\n<em> Task-based approaches to technological change\n</em> Computational methods, agent-based modeling, or large-scale simulation\n<em> Income distribution and inequality\n</em> Using large language models in the research workflow\n<em> Technical skills including:\n\n</em> Proficiency in Python, Julia, or similar for computational economics\n<em> Facility with AI coding agents as part of a research workflow\n</em> Comfort learning new technical tools and frameworks\n<em> Demonstrated ability to:\n\n</em> Lead research projects from conception to publication\n<em> Ship on tight timelines and revise in public as new data arrives\n</em> Communicate technical findings to diverse audiences\n<em> Strong interest in ensuring AI development benefits humanity\n\nSome Examples of Our Recent Work:\n\n</em> Labor market impacts of AI: A new measure and early evidence\n<em> Anthropic Economic Index Report: Economic Primitives\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\n<em> Estimating AI productivity gains from Claude conversations\n</em> The Anthropic Economic Index\n\nAdditional Information:\n\nFor this role, we&#39;re looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession&#39;s usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.\n\nDeadline to apply: None. Applications are reviewed on a rolling basis\n\nThe annual compensation range for this role is listed below.\n\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n\nAnnual Salary: $300,000-$405,000 USD</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$300,000-$405,000 USD</Salaryrange>
      <Skills>Python, Julia, macroeconomic modeling, structural estimation, scenario-based forecasting, time-series forecasting, task-based approaches to technological change, computational methods, agent-based modeling, large-scale simulation, income distribution, inequality, large language models</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a technology company focused on developing artificial intelligence systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5149802008</Applyto>
      <Location>San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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