Research Analyst
University of Chicago
Department
SSD: Center for the Economics of Human Development - Staff and Temporary Employees
About the Department
Job Summary
Responsibilities
- Programs in Stata, Python, R, or Matlab to analyze data using econometric tools.
- Collaborates with research team to develop economic models for projects.
- Analyze the meaning, significance, causes, and effects of the subject.
- Writes and/or proofreads academic papers, reports, and presentations.
- Cleans and describes data, generating graphs, tables, or other summaries. Writes and/or proofreads grants.
- Takes responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects.
- Takes responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments.
- Trains and supervises undergraduate research assistants. Responsibly handle confidential data.
- 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:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Education:
- Bachelor’s Degree, conferred by Spring 2025, in economics or related quantitative field.
Experience:
- One year of research experience with quantitative academic research.
- Experience programming and working with empirical data.
- Experience working successfully in stressful environments and problem solving.
Technical Knowledge or Skills
- Experience with R, Matlab, Python helpful.
Preferred Competencies
- Working knowledge of research techniques in empirical economics.
- Strong analytical and problem-solving skills and an enthusiasm for learning new methods and skills independently.
- Strong ability to coordinate work with others and teams.
- Excellent oral and written communication skills.
- Excellent organization and attention to details.
Application Documents
- Resume or CV (required)
- Research statement (required)
- Unofficial transcript (required)
- Sample of code in any programming language that you have used to conduct data analysis (required)
- 2 references contact information (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
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 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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