Location: Illinois: Chicago Job Description: - 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.
Preferred Qualifications Education: - 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.
Experience: - 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.
Preferred Competencies - 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
- Supervisory skills
- Experience with machine learning applications in urban or social science preferred
- Knowledge of regulatory policies and procedures preferred
- Analytical skills
- Problem-solving skills
- Attention to detail
- Organizational skills
- Verbal and written communication skills
- Ability to work independently and as part of a team
Application Documents - Resume (required)
- 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. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637. |