Inclusive Economy Lab
About the Department
Founded in 2015, The University of Chicago Inclusive Economy Lab conducts rigorous research that expands economic opportunity for people harmed by discrimination, disinvestment, and segregation. One of five Urban Labs based at the Harris School of Public Policy, the Inclusive Economy Lab is led by Pritzker Director Marianne Bertrand, Chris P. Dialynas Distinguished Service Professor of Economics at the Booth School of Business.
The job performs a range of activities to support the statistical design and implementation of research analysis. Uses knowledge of statistics to communicate analyses for research proposals and draft reports detailing their results. Follows objectives and procedures for sampling, randomization, data collection, analysis, and quality control.
* Leads data management and analysis for experimental and quasi-experimental evaluations.
* Cleans, merges, and matches data, and runs sampling and randomization across multiple projects.
* Generates clear data visualizations.
* Drafts memos, spreadsheets, and presentations targeting both policymakers and academic researchers.
* Reviews other analysts' code as a part of the Lab's quality assurance efforts.
* Works closely with Principals Investigators to ensure the rigor of the Lab's research.
* Mentors junior analytic staff and manages interns.
* Begin contributing to new project scoping and research design.
* Analyzes data and prepares data tables, charts, and graphs for reports. Writes grant proposals for faculty throughout the unit.
* Helps develop and implements new innovative procedures in the areas of data collection, quality control, presentation of results, and statistical analysis.
* Performs other related work as needed.
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
* Bachelor's degree in economics, sociology, public policy or other relevant social/mathematical science field.
* Coursework in econometrics and/or mathematical statistics.
* Master's degree.
* First generation college students and those with lived experience in communities experiencing poverty and disinvestment are encouraged to apply.
* A minimum of two years of relevant research experience; experience gained in school counts towards requirement.
* Working knowledge with large and complex datasets.
* Experience with data merging and cleaning strongly preferred.
* Experience with relational databases strongly preferred.
* Experience working on field experiments strongly preferred.
Technical Skills or Knowledge:
* Proficiency with one or more languages such as R, Stata, Python, or SAS.
* Familiarity with Git strongly preferred.
* Experience working with GIS and UNIX servers strongly preferred.
* Ability to work independently in a fast-paced environment.
* Strong time management skills with a proven ability to multitask and to prioritize activities to successfully complete projects on tight deadlines with little supervision.
* Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences.
* Demonstrated ability to exercise sound judgement.
* Excellent organizational skills and attention to detail.
* Ability to work both independently and as a team member.
* Ability to work discretely with sensitive and confidential data.
* Ability to engage thoughtfully with issues related to race, identity, and equity and work across differences.
* Demonstrated experience working with communities that have experienced segregation and disinvestment.
* Resume/CV (required)
* Cover letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Scheduled Weekly Hours
Requires Compliance with University Covid-19 Vaccination Requirement
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Employees must comply with the University's COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected 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
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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- Attention To Detail
- Data Collection
- Data Management