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We welcome people from all walks of life to bring their talent, ideas, and experience to our community. We value diversity and strongly encourage applications from individuals from all identities and backgrounds – like yours. If you want to be part of our exceptional, multicultural, collaborative, and inclusive community, then take a look at this opportunity.

Research Fellow
  • Job Number: 24354
  • Functional Area: Research - Scientific
  • Department: Economics
  • School Area: Humanities, Arts, & Social Sciences
  • Employment Type: Full-Time Temporary
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:


Job Description

RESEARCH FELLOW, Economics (multiple openings), to join Nathaniel Hendren in conducting economic analysis.  Will be part of Policy Impacts, an organization founded by Professor Hendren that is dedicated to improving the quality of government decision-making by promoting standardization in policy analysis.  Will work directly with Professor Hendren on research topics in applied micro-economics and empirical welfare analysis.  Topics likely include the welfare analysis of policies targeting firms, macroeconomic stabilization and fiscal stimulus policies, environmental policies, and the impact and incidence of labor market shocks. Work will involve detailed and careful analysis and coding of the welfare impacts of government policies, literature reviews, and advanced meta-analysis methods using Stata and GitHub. Some projects also involve analysis of large-scale datasets derived from Census and IRS tax forms. The projects will also build upon earlier work studying the welfare impacts of government policies, the impact of local labor markets on upward economic mobility, and the effectiveness of policies addressing climate change.  

Job Requirements

REQUIRED:  bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; at least two years’ specialized experience in quantitative data analysis, research methods, and/or social sciences research (which may include coursework or experience gained as an undergraduate); and experience with programming, particularly around data analysis, cleaning, and simulations.  Job #24354

Will receive a full-time, one-year appointment that is renewable annually (contingent on funding).  An employment term of two years is strongly preferred. This position will begin July 1, 2025.

The position is not eligible for visa sponsorship.

Candidates should review the full posting and application instructions using this link before applying.  Please upload your application materials as a single PDF in the “Submit a Resume” section, including your cover letter, resume, names and email addresses for two professional references, transcript(s), and writing sample.

8/23/24