Department
About the Department
Job Summary
CEHD’s robust research initiatives produce innovative, sound, evidence-based support for high-quality investments in programs that foster skills over the lifecycle. The research specialist will contribute to these initiatives, participating in a variety of research projects in human capital, labor economics, and the economics of education and will gain experience in all aspects of the research process.
Responsibilities range across the research cycle and will include cleaning and analyzing large datasets, designing survey questionnaires, proposing grants for new projects, writing reports or papers, and presenting research. CEHD researchers are uniquely empowered to make vital contributions to the Center's work through collaboration and early-career co-authorship.
Responsibilities
Programs in Stata, Python, R, or Matlab to analyze data using econometric tools.
Collaborates with research team to develop economic models for projects.
Writes and/or proofreads academic papers, reports, and presentations.
Cleans and describes data, generating graphs, tables, or other summaries.
Writes and/or proofreads grants.
Trains and supervises undergraduate research assistants.
Responsibly handle confidential data.
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.
Takes responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments. Analyze the meaning, significance, causes, and effects of the subject.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Bachelor’s Degree, conferred by Spring 2023, in economics or related quantitative field.
Experience:
A minimum of 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 Skills or Knowledge:
Proficiency in Stata.
Proficiency in LaTeX.
Proficiency of Microsoft Office Suite.
Proficiency of Google Suite.
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
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, 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.
Staff 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.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
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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