Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible)
- Pay
- $59,000 – $62,000 per year
- Location
- Chicago, IL · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 15 days ago
Skills & highlights for this role
- Quantitative skills
- Programming skills
- Econometrics
- Statistical analysis packages (Stata, R, or Python)
- Large data set analysis
- Written and verbal communication
- Multi-project management
- Organizational skills
- Attention to detail
Also useful
- Research experience
- Numerical optimization software
- Machine learning techniques
- Advanced coursework in Economics or Mathematics
- Understanding of academia and higher education
About the role
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
Projects: Projects include global innovation, China's economic growth, and technological revolution in the US service sector
Expected Start Date: To be determined - Summer 2027
Depar tment: Becker Friedman Institute
Job Summary
The Becker Friedman Institute for Economics (BFI) is seeking to hire a full-time Research Professional to work with Professors Chang-Tai Hsieh and Erik Hurst on ongoing and new research projects related to global innovation, China's economic growth, and technological revolution in the US service sector. Applicants must be available to begin work in July 2027.
The Research Professional's responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running simulations, and preparing manuscripts and presentations.
Successful candidates will work directly with Professors Chang-Tai Hsieh and Erik Hurst as part of BFI's Predoctoral Research in Economics Program (PREP). The program is intended to serve as a bridge between college and graduate school for students interested in empirical economics. Applicants must have completed a Bachelor's degree by June 2027 and have strong quantitative and programming skills.
Candidates with research experience are strongly preferred, especially those with experience in programming and numerical optimization software. The ideal candidate would begin on July 1, 2027 and work for BFI for one or two years before applying to graduate school in Economics or another quantitative social science. BFI offers competitive salary and employee benefits.
Responsibilities
- Cleans and analyzes data.
- Writes or finalizes replicable data files or scripts for publication.
- Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives, and mandates. Analyzes possible solutions using standard procedures.
- Assists with writing data analysis plans and contributes to preparing study registration documents.
- Supports the implementation of field experiments including supporting the design and implementation of surveys, and monitoring the quality of data collected, when needed.
- Supports with writing of grant and policy reports and assists with drafting presentations of research findings.
- Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process.
- Maintains technical and administrative support for a research project.
- Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
- Performs other related work as needed.
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 both independently and as a team member.
- Excellent organizational skills and attention to detail.
- Understanding of academia and higher education in a research and teaching environment.
Application Documents
- Resume/CV
- Cover letter
- Writing Sample
- Transcripts (unofficial accepted)
- Two professional references
About the Department
The Becker Friedman Institute for Economics aims to foster frontier research and apply those findings to achieve global impact. BFI brings together researchers from the Booth School of Business, the Kenneth C.
Griffin Department of Economics, the Harris School of Public Policy, the Law School, and the entire University of Chicago Economics Community to leverage robust data, apply cutting-edge analytical tools, and uncover novel insights on the world's most difficult economic problems.
BFI then bridges the divide between academic researchers and relevant policy makers by translating and packaging rigorous research into accessible formats and proactively sharing those findings with decision-makers and thought leaders in business, government and nonprofit institutions. In this way, BFI has the potential to play a significant role in meeting the most difficult challenges facing the global community.
Equal opportunity and legal notices
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call or submit a request via Applicant Inquiry Form.
From Pre-Doctoral in Economics Program (PREP)'s careers page, first listed on Rolev.ai on October 26, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible) role at Pre-Doctoral in Economics Program (PREP)?
The Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible) posting at Pre-Doctoral in Economics Program (PREP) states compensation of $59,000 – $62,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Pre-Doctoral in Economics Program (PREP)'s official career site.
Where is the Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible) job at Pre-Doctoral in Economics Program (PREP) located?
This Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible) position at Pre-Doctoral in Economics Program (PREP) is located in Chicago, IL (On-site). Always check Pre-Doctoral in Economics Program (PREP)'s application page for specific state eligibility or relocation policies.
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For the Research Professional - Erik Hurst and Chang-Tai Hsieh (Full-Time, Benefits Eligible) role, Pre-Doctoral in Economics Program (PREP) highlights a bachelor's degree; experience with Quantitative skills, Programming skills, Econometrics, Statistical analysis packages (Stata, R, or Python), Large data set analysis, Written and verbal communication. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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