The University of Chicago Law School occupies a unique niche among this country's premier law schools. Located on a residential campus in one of America's great cities, UChicago Law offers a rigorous and interdisciplinary professional education that blends the study of law with the humanities, the social sciences, and the natural sciences. Students, faculty, and staff form a small, tightly knit community devoted to the life of the mind.
Job Summary
The Coase-Sandor Institute for Law & Economics at the University of Chicago Law School seeks a Research Specialist to work with Professor Adam Chilton on projects related to international law, comparative law, and empirical legal studies. Tasks will include assisting with the development of research projects, obtaining and cleaning data, conducting quantitative data analysis, and assisting with the preparation of reports, manuscripts, and presentations related to research findings. The Institute promotes the understanding and dissemination of the economic approach to law. For more information about the Institute, please visit http://www.law.uchicago.edu/coase-sandor.
The role is intended to operate on a pre-doc model, with the Research Specialist remaining in the role for one or two years before pursing graduate studies, although this can be extended by mutual agreement. Because the University of Chicago is not an E-Verify employer, please note that the Law School cannot hire individuals under F-1 OPT STEM visa status. The Law School can hire individuals under F-1 or J-1 visa status, however.
Responsibilities
Builds and manages data sets.
Builds and tests econometric models.
Helps with the design of experimental and survey studies.
Conducts complex data analysis.
Writes and edits research documentation.
Discovers new data sources and cleans/prepares data for faculty use.
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:
Minimum requirements include knowledge and skills developed through --- Certifications:
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Preferred Qualifications
Education:
A degree with training statistical methods, including familiarity with experimental methods.
An advanced degree in economics or related field with evidence of strong mathematics, statistics, and metrics background.
Experience:
Programming experience with Stata, as well as statistical packages such as R.
Programming experience in Python and familiarity with programming languages such as Perl or Ruby strongly preferred.
Preferred Competencies
Must be self-directed.
Ability to work independently and within teams.
Ability to work effectively across multiple projects.
Excellent organizational skills and strong attention to detail.
Competence and experience programming in Python.
Familiarity with programming languages such as Perl or Ruby.
Working knowledge of MS Excel.
Competence and experience programming with Stata, as well as familiarity with other statistical packages such as R.
Application Documents
Resume/CV (required)
Cover Letter (preferred)
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
37.5
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
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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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