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.
Job Summary
The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects.
Responsibilities
Leads data collection, data management, and analysis for qualitative and mixed-methods evaluations.
Uses software (i.e. Dedoose, NVivo) to clean transcripts and code data.
Drafts memos and presentations targeting both policymakers and academic researchers.
Ensures the faithful implementation of University of Chicago IRB procedures, including maintaining confidentiality of participant information and ensuring compliance with institutional, state and federal regulatory policies, procedures, directives and mandates.
Reviews other analysts’ coding as a part of the Lab’s quality assurance efforts.
Prepares project memos, summaries, and presentations as needed to engage research partners in all stages of the research cycle.
Begin contributing to new project scoping and research design.
Begins to represent the organization to external partners.
Helps build the culture of the organization by helping lead enterprise-wide committees and serving as a mentor to junior staff.
Conducts or delegates literature reviews and best practice policy scans to help inform the development of the research agenda.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Education:
Minimum Qualifications
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
Coursework in qualitative research methods.
Master’s degree.
Experience:
Demonstrated experience working with communities that have experienced segregation and disinvestment strongly preferred.
First generation college students and those with lived experience in communities experiencing poverty and disinvestment are encouraged to apply.
Previous experience working in a research organization or managing research projects strongly preferred.
Experience with NVivo, AtlasTi, MaxQDA, or Dedoose strongly preferred.
Preferred Competencies
Ability to engage thoughtfully with issues related to race, identity, and equity and work across lines of difference.
Strong project management skills with exceptional attention to detail.
Ability to work independently in a fast-paced environment.
Outstanding interpersonal skills and ability to maintain positive relationships with various stakeholders.
Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences.
Comfort with qualitative research methods and ability to explain them to external audiences.
Demonstrated ability to exercise sound judgment.
Ability to work discreetly with sensitive and confidential data.
Application Documents
Resume (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.
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
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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Seniority level
Mid-Senior level
Employment type
Other
Job function
Business Development and Sales
Industries
Higher Education
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