{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/computational-methods"},"x-facet":{"type":"skill","slug":"computational-methods","display":"Computational Methods","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9da00f5-0b0"},"title":"Transformative AI Research Economist, Economic Research","description":"<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>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d9da00f5-0b0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5149802008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["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"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:25.435Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","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","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}}]}