Provide scientific direction on all projects, ensure the rigor, and quality of all work.
Manage and mentor research and project staff.
Help set and contribute to organizational priorities as part of the management team.
Report to the Managing Director.
Work collaboratively with senior faculty members at the University of Chicago and elsewhere, other research directors, and with partner agencies.
Contribute to the scientific content of research proposals.
Assist the Executive Director, Managing Director and other faculty affiliates in supporting fundraising, dissemination, and policymaker outreach activities.
Contribute to strategic conversation about which new projects and initiatives the Crime and Education Lab should take on.
Management of staff and leadership on organizational initiatives.
Oversees activities related to data collection, analysis, and reporting. Reviews articles, reports and manuscripts. Oversees the presentation of research findings at meetings and/or conferences.
Manages grant/funding applications. Establishes, monitors, and controls project budgets.
Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates.
Performs other related work as needed.
A Ph.D. in computer science, statistics, economics, public policy, or other related quantitative discipline, and ideally will have defended their doctoral dissertation by Fall 2021.
The successful candidate will have expertise in machine learning or data science research, and an interest in finding and testing innovative solutions to urban problems. Previous experience in program evaluation and econometrics is a plus. Preference will be given to those who understand and use methods of causal inference, who have experience evaluating the performance of predictive models in real-world settings, and who have proven experience working with interdisciplinary research teams and agency and community stakeholders.
Advanced knowledge of machine learning and statistics
Experience developing reproducible and maintainable code
Knowledge of causal inference methods preferred
Ability to communicate insights from data to technical and non-technical audiences
Strategic leadership skills
Experience with machine learning applications in urban or social science preferred
Knowledge of regulatory policies and procedures preferred
Attention to detail
Verbal and written communication skills
Ability to work independently and as part of a team
Cover Letter (required)
Writing Sample (required)
Reference Letters with Contact Information (preferred)
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 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR09903
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