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Economics Research Jobs (NOW HIRING)

Research Lead

Hyde Park, VT · On-site

$73K - $95K/yr

Department SSD Development Economics Center: Staff and Temporary Employees About the Department The ... Research priorities will be set in conversation with the Faculty Director and DIL senior leadership ...

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Economics Research information

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$11K

$104K

$230.5K

How much do economics research jobs pay per year?

As of Jul 16, 2026, the average yearly pay for economics research in the United States is $103,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Economics Researcher, and why are they important?

To thrive as an Economics Researcher, you need strong analytical skills, a solid grounding in economic theory, quantitative methods, and typically an advanced degree in economics or a related field. Proficiency in statistical software such as Stata, R, SAS, or Python, as well as experience with data analysis and econometric modeling, is essential. Clear communication, critical thinking, and attention to detail are vital soft skills for presenting complex findings and collaborating effectively. These skills and qualities are crucial for generating accurate analyses, informing policy or business decisions, and advancing economic understanding.

What is the difference between Economics Research vs Data Analyst?

AspectEconomics ResearchData Analyst
Required CredentialsDegree in Economics, Statistics, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentResearch institutions, think tanks, academiaCorporate, finance, healthcare, or tech companies
Employer & Industry UsageGovernment agencies, universities, research firmsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding differences in roles, skills, and career pathsClarifying job functions, skills, and industry applications

Economics Research focuses on analyzing economic theories, models, and data to inform policy or academic knowledge, often within research institutions or academia. Data Analysts interpret and visualize data to support business decisions across various industries. While both roles require strong analytical skills and familiarity with statistical tools, Economics Research emphasizes theoretical and policy-oriented work, whereas Data Analysts focus on practical data interpretation for operational purposes.

What is economics research?

Economics research involves the systematic study and analysis of economic data, theories, and trends to understand how economies function and to inform policy, business, or academic decisions. Researchers use quantitative and qualitative methods to investigate topics such as market behavior, inflation, employment, and public policy impacts. The findings contribute to the development of economic theory, help solve real-world economic problems, and guide decision-making for governments, organizations, and individuals.

What are the typical collaboration opportunities for someone in an Economics Research role?

Economics researchers frequently collaborate with other researchers, data analysts, and policy experts both within and outside their organization. Teamwork is essential when working on large-scale projects, as researchers often contribute specialized expertise and share findings to inform collective conclusions. Additionally, cross-functional collaboration with departments like finance, public policy, or statistics is common, offering opportunities to broaden skillsets and build a strong professional network. These interactions can lead to co-authored publications and participation in industry conferences, supporting both professional development and career advancement.
More about Economics Research jobs
What cities are hiring for Economics Research jobs? Cities with the most Economics Research job openings:
What are the most commonly searched types of Economics Research jobs? The most popular types of Economics Research jobs are:
What states have the most Economics Research jobs? States with the most job openings for Economics Research jobs include:
Infographic showing various Economics Research job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 7% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $103,950 per year, or $50 per hour.
Research Engineer, Economic Research Data Platform

Research Engineer, Economic Research Data Platform

Anthropic

San Francisco, CA

Other

Re-posted 7 days ago


Job description

About the role

As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.

The Economic Research team is part of the Anthropic Institute, and studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data, including the Anthropic Economic Index, for the benefit of the public - helping policymakers, businesses, and workers understand and navigate the transition to powerful AI. The questions we work on include: how is AI changing jobs and economic activity, who is adopting it and why, and what determines whether a region or industry captures value from it.

In this role, you will work closely with teams across Anthropic - including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy - to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting and implementing high-quality internal infrastructure, working in a fast-paced environment, and navigating ambiguity.

Responsibilities:

  • Build and operate the data pipelines that turn raw usage data into clean, reusable, privacy-preserving datasets
  • Design new systems - including developing classifiers, training probes on model internals, and building the ML pipelines behind them - for understanding how Claude is used and the impact it's having on the economy
  • Build self-serve workflows to ingest and integrate external data sources so they're interoperable with internal datasets
  • Develop the APIs, libraries, and interfaces that serve data to researchers and the public
  • Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety mission
  • Contribute to the team roadmap, documentation, and practices that enable self-serve data access while maintaining safety and governance standards
  • Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure

You might be a good fit if you:

  • Have significant experience building data-intensive applications, pipelines, or internal tooling in production
  • Have experience with cloud infrastructure platforms such as AWS or GCP, and take pride in writing clean, well-documented code in Python that others can build upon
  • Have intuition for analytics workflows and empathy for how researchers and data scientists work
  • Are comfortable making technical decisions with incomplete information while keeping engineering standards high
  • Have a "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
  • Have strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise
  • Care about the societal impacts of your work, and are interested in AI's economic implications

Bonus qualifications:

  • Experience with modern data transformation, orchestration, and query frameworks
  • Building systems and products on top of LLMs
  • Privacy-preserving data systems, or data governance and lineage tooling
  • Building and operating web services and the infrastructure underneath them
  • Full-stack development or complex data visualization
  • Background in econometrics, statistics, or quantitative social science
  • Working in environments where engineers partner closely with quantitative users - research labs, trading firms, analytics companies
Some Examples of Our Recent Work
    • Anthropic Economic Index report: Learning curves 
    • 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

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