Department
About the Department
Job Summary
The position involves conducting research focused on the development and creation of statistical software tailored for applied public policy. The role will include designing and implementing statistical tools to address real-world policy challenges, ensuring that the software meets the needs of researchers and policymakers. In addition, the position will require running simulations to evaluate and establish the performance and effectiveness of the proposed software. This work will contribute to improving decision-making processes in public policy through the use of advanced statistical methodologies.
The successful candidate will have experience with statistical software and with designing and implementing statistical tools. From project inception to delivery, the research assistant will contribute to all facets of data collection and cleaning, model development, and implementation.
Responsibilities
Prepares project memos, summaries, presentations and manuscripts targeting both technical and non-technical audiences, including policymakers, academic researchers and other stakeholders
Prepares sections of research results, including proofing, formatting and creating tables and graphs.
Assists with managing project deliverables.
Documents internal and external meetings.
Assists with data collection, management, and analysis including cleaning and assembling the files for data analysis.
Supports data collection and analytical needs of research projects.
Designing and implementing statistical tools.
Ensures project compliance with different policies, procedures, directives, and mandates.
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:
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Certifications:
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Preferred Qualifications
Education:
Master’s degree in economics, sociology, public policy, statistics, computer science, or a closely related field.
Experience:
Experience working with statistical programming languages.
Strong interest in public policy,.
Technical Skills or Knowledge:
Experience in data analysis.
Strong quantitative skills.
Ability to manage multiple projects simultaneously and meet tight deadlines.
Preferred Competencies
R or Python experience strongly preferred.
Excellent organizational skills and attention to detail.
Ability to work both independently and as a team member.
Ability to work carefully with sensitive and confidential data.
Candidates are encouraged to highlight experience in the following areas:
Working with large, complex, and/or administrative datasets.
Program evaluation methods (e.g., difference-in-differences, propensity
score matching, regression discontinuity).
Creating data visualizations.
Conducting predictive analyses using random forest or related
algorithms.
Imputing missing data.
Working Conditions
Researcher will be based out of Chicago, IL.
Application Documents
Resume (required)
Cover Letter (required)
Reference Contact Information (2) (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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