{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/macroeconomic-modeling"},"x-facet":{"type":"skill","slug":"macroeconomic-modeling","display":"Macroeconomic Modeling","count":2},"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.</p>\n<p>You 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.</p>\n<p>Our 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.</p>\n<p>You will:</p>\n<ul>\n<li>Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution</li>\n<li>Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories</li>\n<li>Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation</li>\n<li>Analyze questions of income distribution and economic governance under transformative-AI scenarios</li>\n<li>Contribute to the development of AI-powered research tools for economics</li>\n<li>Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise</li>\n<li>Build and maintain relationships with academic institutions, policy think tanks, and other research partners</li>\n<li>Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders</li>\n</ul>\n<p>Required skills include proficiency in Python, Julia, or similar for computational economics, facility with AI coding agents as part of a research workflow, and comfort learning new technical tools and frameworks.</p>\n<p>The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI, and has a strong interest in ensuring AI development benefits humanity.</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","AI coding agents","computational economics","macroeconomic modeling","scenario-based forecasting","microeconomic data analysis","income distribution analysis","economic governance analysis","AI-powered research tools"],"x-skills-preferred":["task-based approaches to technological change","computational methods","agent-based modeling","large-scale simulation","income distribution and inequality","using large language models in the research workflow"],"datePosted":"2026-04-24T11:25:35.525Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Julia, AI coding agents, computational economics, macroeconomic modeling, scenario-based forecasting, microeconomic data analysis, income distribution analysis, economic governance analysis, AI-powered research tools, task-based approaches to technological change, computational methods, agent-based modeling, large-scale simulation, income distribution and inequality, using large language models in the research workflow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_150ca1e8-f29"},"title":"Research Economist, Economic Research","description":"<p>As a Research Economist at Anthropic, you will work to measure and understand AI&#39;s effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.</p>\n<p>Our 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. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives</li>\n</ul>\n<ul>\n<li>Design and conduct empirical research on AI&#39;s economic effects, drawing on external data sources and the privacy-preserving measurement systems internally</li>\n</ul>\n<ul>\n<li>Develop new methodological approaches for studying AI&#39;s impact on:</li>\n</ul>\n<ul>\n<li>Labor markets and the future of work</li>\n</ul>\n<ul>\n<li>Productivity and task transformation</li>\n</ul>\n<ul>\n<li>Economic inequality and displacement</li>\n</ul>\n<ul>\n<li>Industry-specific disruption and adaptation</li>\n</ul>\n<ul>\n<li>Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios</li>\n</ul>\n<ul>\n<li>Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with academic institutions, policy think tanks, and other research partners</li>\n</ul>\n<ul>\n<li>Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection</li>\n</ul>\n<ul>\n<li>Translate research insights into actionable recommendations for both product decisions and policy discussions</li>\n</ul>\n<ul>\n<li>Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>PhD in Economics</li>\n</ul>\n<ul>\n<li>Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning</li>\n</ul>\n<ul>\n<li>Experience relevant to the study of AI’s impact on the economy, including:</li>\n</ul>\n<ul>\n<li>Labor market analysis and occupational change</li>\n</ul>\n<ul>\n<li>Task-based approaches to technological transformation</li>\n</ul>\n<ul>\n<li>Large-scale data analysis and econometric methods</li>\n</ul>\n<ul>\n<li>Large language models for social science research</li>\n</ul>\n<ul>\n<li>Policy-relevant economic research</li>\n</ul>\n<ul>\n<li>Experimental and quasi-experimental methods for causal inference</li>\n</ul>\n<ul>\n<li>Macroeconomic modeling and time series forecasting</li>\n</ul>\n<ul>\n<li>Agent-based modeling or large-scale simulation</li>\n</ul>\n<ul>\n<li>Technical skills including:</li>\n</ul>\n<ul>\n<li>Proficiency in Python, R, SQL, or similar tools for large-scale data analysis</li>\n</ul>\n<ul>\n<li>Experience working with novel datasets and measurement systems</li>\n</ul>\n<ul>\n<li>Comfort learning new technical tools and frameworks</li>\n</ul>\n<ul>\n<li>Demonstrated ability to:</li>\n</ul>\n<ul>\n<li>Lead complex research projects from conception to publication</li>\n</ul>\n<ul>\n<li>Communicate technical findings to diverse audiences</li>\n</ul>\n<ul>\n<li>Build relationships across academic, policy, and industry communities</li>\n</ul>\n<ul>\n<li>Strong interest in ensuring AI development benefits humanity</li>\n</ul>\n<ul>\n<li>Comfort working with AI systems and ability to think critically about their capabilities and limitations</li>\n</ul>\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_150ca1e8-f29","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/5018472008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["PhD in Economics","Empirical research","Econometrics","Machine learning","Structural estimation","Python","R","SQL","Large-scale data analysis","Novel datasets and measurement systems","Causal inference","Macroeconomic modeling","Time series forecasting","Agent-based modeling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:14.877Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Economics, Empirical research, Econometrics, Machine learning, Structural estimation, Python, R, SQL, Large-scale data analysis, Novel datasets and measurement systems, Causal inference, Macroeconomic modeling, Time series forecasting, Agent-based modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}}]}