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How much do macro phd research jobs pay per year?

As of Sep 9, 2026, the average yearly pay for macro phd research in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a Macro PhD researcher?

Macro PhD researchers are doctoral students or scholars who focus their studies on macroeconomics, which is the branch of economics that examines the economy as a whole. They investigate large-scale economic factors such as inflation, unemployment, economic growth, and fiscal and monetary policies. Their work often involves advanced mathematical modeling, data analysis, and the development of theories to understand and predict economic trends. Macro PhD researchers may work in academia, government, or private sector institutions, contributing to policy-making and economic research.

What skills and qualifications are needed to thrive as a Macro PhD researcher?

To thrive as a Macro PhD Researcher, you need advanced knowledge of macroeconomic theory, strong quantitative and analytical skills, and typically a master's degree or equivalent in economics or a related field. Proficiency in econometric software such as Stata, MATLAB, or R, as well as experience with data analysis and academic research methodologies, is essential. Critical thinking, intellectual curiosity, and effective communication are valuable soft skills for generating original research and collaborating with academic peers. These skills and qualities are crucial for producing high-quality macroeconomic research that contributes to academic and policy discussions.

What are common challenges faced by Macro PhD researchers when conducting empirical research, and how can they be addressed?

Macro PhD researchers often encounter challenges such as accessing high-quality macroeconomic data, managing complex econometric models, and ensuring the robustness of their findings. These hurdles can be addressed by collaborating with faculty and peers, utilizing university resources and databases, and staying up to date with the latest methodological advancements. Additionally, presenting preliminary work in seminars and workshops is a valuable way to receive feedback and refine research approaches before publication.

What is the difference between Macro Phd Research vs Macro Analyst?

AspectMacro Phd ResearchMacro Analyst
Required CredentialsPhD in Economics or related fieldBachelor's or Master's in Economics, Finance, or related field
Work EnvironmentAcademic or research institutions, think tanksFinancial firms, investment banks, government agencies
Employer & Industry UsagePrimarily academia and research organizationsFinancial services, economic consulting
Search & Comparison IntentResearch, academic careers, in-depth analysisMarket analysis, economic forecasting, investment decisions

Macro Phd Researchers focus on academic and theoretical analysis of macroeconomic issues, often working in universities or research institutions. Macro Analysts apply macroeconomic insights to financial markets and policy, working in industry settings. While both roles require strong macroeconomic knowledge, their work environments and career paths differ significantly.

What are popular job titles related to Macro Phd Research jobs?

For Macro Phd Research jobs, the most frequently searched job titles are:

Infographic showing various Macro Phd Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Transformative AI Research Economist, Economic Research

San Francisco, CA

Anthropic
Software Development • 11 - 50 employees
Learn more about Anthropicexternal

Full-time

Re-posted 2 days ago

Job description

About the Role

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. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.

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. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system, we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities

  • Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution

  • Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories

  • Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation

  • Analyze questions of income distribution and economic governance under transformative-AI scenarios

  • Contribute to the development of AI-powered research tools for economics

  • Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise

  • Build and maintain relationships with academic institutions, policy think tanks, and other research partners

  • Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have

  • PhD in Economics, or an exceptional candidate close to completion

  • Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics

  • 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

  • Relevant experience in some of:

    • Macroeconomic modeling and structural estimation

    • Scenario-based and time-series forecasting

    • Task-based approaches to technological change

    • Computational methods, agent-based modeling, or large-scale simulation

    • Income distribution and inequality

    • Using large language models in the research workflow

  • Technical skills including:

    • Proficiency in Python, Julia, or similar for computational economics

    • Facility with AI coding agents as part of a research workflow

    • Comfort learning new technical tools and frameworks

  • Demonstrated ability to:

    • Lead research projects from conception to publication

    • Ship on tight timelines and revise in public as new data arrives

    • Communicate technical findings to diverse audiences

  • Strong interest in ensuring AI development benefits humanity

Some Examples of Our Recent Work

  • Labor market impacts of AI: A new measure and early evidence

  • Anthropic Economic Index Report: Economic Primitives

  • Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption

  • Estimating AI productivity gains from Claude conversations

  • The Anthropic Economic Index

Additional Information

For this role, we'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's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.

Deadline to apply: None. Applications are reviewed on a rolling basis

Apply