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UL Crime Ed Lab Data Analytics

About the Department

Who We Are

In cities across the country, people face high rates of gun violence, under-resourced schools, and social harms associated with the criminal justice system -- all of which disproportionately impact people of color. These inequalities have profound consequences on public safety and opportunity. As a society we have failed to address these challenges, in part, because of our lack of understanding of the most effective and cost-effective solutions that can have a real impact on people\'s lives. We believe that rigorous research can help.

The University of Chicago Crime Lab and Education Lab partner with cities and communities to use data and rigorous research to design, test, and scale programs and policies that enhance public safety, improve educational outcomes, and advance justice. Our mission is to combine world-class data science and research, in partnership with government agencies, to substantially improve the effectiveness of the public sector and achieve impact at scale.

To learn more about the Crime Lab and Education Lab, visit https://urbanlabs.uchicago.edu/labs/crime.

The Role

The UChicago Crime Lab and Education Lab are seeking Research Analysts with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes. The analyst will work on a portfolio of projects across a variety of areas that span both criminal justice and education.

The successful candidate will have experience in applying a variety of statistical modeling and data analysis techniques to datasets in real-world settings. From project inception to delivery, the Research Analyst will contribute to all facets of data collection and cleaning, model development, and implementation. This position requires an individual who is able to work as a part of small research teams running multiple projects concurrently. The position offers the opportunity to work directly with leading social policy researchers at the University of Chicago and NYC-area universities, local city agency staff, as well as a team of administrative staff, other analysts, research managers, and student research assistants.

Job Summary

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.

Responsibilities

• Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions.
• Cleans, transforms, merges, and matches between large and complex research and administrative datasets.
• Builds statistical models for a variety of research projects.
• Performs sampling, power analysis, and randomization.
• Prepares results for memos, presentations, and academic papers targeting both policymakers and researchers.
• Performs a range of activities to facilitate the design of research projects and the publication of their results. Uses knowledge of statistics to help develop objectives and statistical procedures for the project.
• Writes statistical computer programs and reviews computer output for consistency and quality.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of wo k experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Experience:

• A minimum of one year of relevant research experience. Experience gained in school counts towards requirement.
• Working with large, complex, and/or administrative datasets.
• Working with field experiments or randomized controlled trials.
• Program evaluation methods (e.g., difference-in-differences, propensity score matching, regression discontinuity).
• Creating data visualizations.
• Conducting power analysis.
• Imputing missing data.

Technical Skills or Knowledge:

• Experience working with statistical programming languages (R or Python experience strongly preferred).

Preferred Competencies

Strong interest in data analysis.

Strong interest in social policy, especially crime and education policy.

Strong quantitative skills.

Ability to manage multiple projects simultaneously and meet tight deadlines.

Excellent organizational skil