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Research Professional – Evan Rose

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: University of Chicago
Full Time position
Listed on 2026-10-17
Job specializations:
  • Research/Development
    Data Scientist, Economics, Research Analyst
Salary/Wage Range or Industry Benchmark: 59000 - 62000 USD Yearly USD 59000.00 62000.00 YEAR
Job Description & How to Apply Below
Position: Research Professional – Evan Rose (Full-Time, Benefits Eligible)

Job Title: Research Professional (RP)

Location: Chicago, IL

Salary Ranges: $59,000–62,000 annual salary, additional $2,000 professional development fund

Terms: Seeking a Research Professional for a period of at least one but ideally two years

Expected Start Date :
Summer 2027

Depar
** tment:
** Becker Friedman Institute

Job Summary

The Becker Friedman Institute for Economics (BFI) is seeking to hire multiple full-time Research Professionals to work with Professor Evan Rose on ongoing and new research projects related to applied econometrics, labor and public economics. Applicants must be available to begin work in Summer 2027.

Successful candidates will work directly with Professor Evan Rose and co-authors as part of BFI’s Predoctoral Research in Economics Program (PREP). The position entails collaboration on new and ongoing research projects, with specialization in using applied microeconometric techniques to analyze labor markets and social policy in developed economies, including (but not limited to)
1) understanding changes in labor demand (e.g., international competition and trade, regulation and firm dynamics),
2) understanding labor supply (e.g., household labor supply, barriers to geographical and occupational mobility),
3) understanding the determination of the labor market equilibrium,
4) understanding the role of policy and institutions (e.g., the insurance and incentive effects of social insurance and safety net programs, quantifying monopsony power and implications), and
5) understanding interactions between labor markets and the criminal justice system (e.g., effects of economic shocks on crime and recidivism).

The program is intended to serve as a bridge between college and graduate school for students interested in empirical economics. Former Research Professionals have been admitted to PhD programs at the highest ranked economics programs in the US.

Applicants must have completed a Bachelors degree by June 2027 and have strong quantitative and programming skills. Candidates with research experience are strongly preferred, especially those with experience in Stata, R, Julia, Python, and/or Matlab. The ideal candidate work for BFI for two years before applying to graduate school in Economics or another quantitative social science. BFI offers competitive salary and employee benefits.

Unit-specific

Responsibilities:
  • Write programs in Stata or other languages to analyze large datasets
  • Construct maps, figures, and tables for economics papers
  • Identify new data sources
  • Conduct background research
  • Edit papers
  • Other duties as assigned.
Unit-preferred

Competencies:
  • Desired (but not required) skills include advanced familiarity with numerical optimization and package development in R and/or Python, and the ability to use Stata and R to manage and analyze large datasets. Although previous experience with any specific language is not essential, familiarity with at least one scripting language is encouraged.
  • Ability to work independently and manage multiple projects simultaneously
  • Excellent organizational skills
  • Attention to detail
  • Strong academic writing/communication skills
Minimum Qualifications

Education: Bachelor’s degree from an accredited institution.

Experience : 3 months to one year of work experience in a related job discipline. Experience gained through coursework may be counted as relevant experience.

  • Experience in econometrics.
  • Advanced coursework in Economics or Mathematics.
  • Familiarity in analyzing large data sets, applying econometrics methods.
  • Knowledge of machine learning techniques in data analysis.
  • Familiarity with statistical analysis packages such as Stata, R, or Python.
  • Strong written and verbal communication skills.
  • Manage multiple projects simultaneously and meet tight deadlines.
  • Work…
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