Career Opportunities

• Job Title: Embedded Analyst - CPS
• Desired Start Date: TBC
• Requisition Number: JR10667

The UChicago Education Lab is seeking an Embedded Analyst with strong technical and communication skills to work in close partnership with the Chicago Public Schools (CPS). The embedded analyst will provide technical assistance to the CPS at the direction of the UChicago Education Lab Senior Research Director and senior officials within the district in order to advance mutual priorities focused on equitable service provision to the district’s most vulnerable students.

The Analyst will be embedded at the Chicago Public Schools Headquarters in the Loop approximately 80% of the week and at the UChicago Crime Lab and Education Lab Loop office approximately 20% of the week.

This position requires an individual who is able to work as a part of small research and practitioner teams running multiple projects concurrently. The position offers the opportunity to work directly with leading social policy researchers at the University of Chicago and senior leadership at CPS, as well as an experienced team of data scientists, administrative staff, and project managers from the Chicago office.

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• Job Title: Data Scientist
• Desired Start Date: TBC
• Requisition Number: JR10663

The University of Chicago Crime Lab and Education Lab are seeking a data scientist to work on our portfolio of projects applying machine learning to public policy, particularly in the area of improving policing and police-community relations. We’re seeking a smart, motivated, and detail-oriented person to work on all parts of our applied machine learning projects – all the way from cleaning and structuring raw data to developing predictive models and evaluating them in a randomized control trial. An ideal candidate will have experience extracting insights from data and communicating them to both technical and non-technical audiences.

The position offers the opportunity to work directly with leading researchers at the University of Chicago and policymakers on projects with immediate real-world impact. You will collaborate closely with PhD-level computer science and economics researchers, as well as top-notch research managers and Crime Lab leadership. This position is particularly well-suited for candidates who may be interested in pursuing a PhD in the future or for data scientists who want to transition from industry to public policy research.

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• Job Title: Data Research Assistant
• Desired Start Date: TBC

The University of Chicago Crime Lab is seeking summer Research Assistants to consistently and accurately code open-ended survey responses to enable quantitative analysis and to extract insight from the skills and behavioral post-assessment of the Sit-D training program. Research Assistants may also assist with a range of activities including policy research and analysis, data entry, reviewing and cleaning datasets, statistical analysis, and administrative tasks.

This is a great opportunity to gain a deeper understanding of policy research and to develop research skills. The position will be part-time for approximately 15-20 hours per week. This will be a remote internship.

To Apply: Please submit a cover letter and resume to Ashley Motta, at amotta@uchicago.edu.

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• Job Title: Research Assistant - Elementary School Teaching Intervention
• Desired Start Date: TBC

This study depends crucially on a team of research assistants who will support teachers as they implement the program. Research assistant “coaches” will receive training and meet regularly with members of our research team to discuss ongoing program implementation. They will be responsible for supporting and guiding teachers and their students with incorporating CAL into a weekly routine of reinforcement and mastery. To do this, they will regularly meet and communicate with teachers to discuss goals, preferences, and plans. Coaches will be responsible for monitoring teachers’ weekly progress surveys and student progress using their CAL platform accounts to further support teachers’ effort to implement CAL in their classrooms and increase student time spent on and engagement with the platform. Coaches will also support teachers with drafting parent and student communications about student progress and goals.

To Apply, please submit a cover letter and resume to Sarah Horn at sthorn@uchicago.edu.

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• Job Title: Senior Manager, Sponsored Research
• Desired Start Date: TBC
• Reporting to: Chief Operating Officer
• Requisition Number: JR11104

The Senior Manager, Sponsored Research supports the research enterprise at the Crime Lab and Education Lab by providing leadership and stewardship for grants and sponsored research support. This person works witha diverse team of Principal Investigators, Research Directors, staff and partners involved in the review, approval, negotiation and administration of research proposals, grants, contracts, and will also be responsible for developing and implementing efficient and effective processes related to pre- and post-award grant administration. This position reports to the Chief Operating Officer and works closely with the Sr. Manager, Budget & Finance and the Sponsored Research & Finance Associate.

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• Job Title: Project Director
• Desired Start Date: TBC
• Requisition Number: JR10975

The Education Lab has done several studies of high dosage tutoring and has found very encouraging results. Over two separate randomized controlled trials of an intensive, in-school tutoring program run by Saga Education, UChicago Education Lab found that students who received the program gained one to two-and-a-half years of additional learning compared to those who did not participate (SAGA Tutoring | UChicago Urban Labs). This finding – and subsequent findings from later studies – indicate that this personalized learning approach has the potential to accelerate students’ learning there thereby reduce persistent disparities in education performance. Some of our work in this area was recently released as a working paper titled “Not Too Late”, highlighting the potential of programs like these to substantially improve outcomes for adolescents who have fallen behind grade level (Not Too Late:Improving Academic Outcomes Among Adolescents | NBER).

Partly inspired by these results, we are developing a series of large-scale, multi-arm,

randomized experiments across multiple cities to study variations of this personalized learning approach at scale and to empirically identify what works best for whom and in what context. We expect this program to serve tens of thousands of students, allowing us to learn more about these promising models while delivering real supports to as many students who might benefit as possible. To help us execute on this vision, we are seeking a project director to coordinate and drive these efforts.

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