The University of Chicago

Evaluation and Research Scientist

Chicago, IL, US$85,000-$95,000Posted 1 month ago

Job Description

Department

PSD Data Science: Systems Administration About the Department

The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline. The DSI seeds research on the interdisciplinary frontiers of this emerging field, forms partnerships with industry, government, and social impact organizations, and supports holistic data science and AI education. The staff in the Data Science Institute support the University’s students and scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Job Summary

The Evaluation and Research Scientist will lead and support program evaluation and research projects focused on kindergarten–adult STEM education, with an emphasis on high school and postsecondary data science and AI education. The Evaluation and Research Scientist will report to the Director of Outlier Research and Evaluation and will work collaboratively with senior researchers, DSI colleagues, funders, and partner organizations.

This role involves managing multiple stages of the research and evaluation process, including project design, literature reviews, instrument development, data collection and management, quantitative and qualitative analysis, IRB compliance, and the preparation of reports, presentations, manuscripts, and other written deliverables. The Evaluation and Research Scientist will also contribute to funding strategy and proposal development, including identifying relevant funding opportunities, drafting research and evaluation plans, developing scopes of work, and preparing funder-facing materials for grants, contracts, and sponsored projects.

The ideal candidate is an experienced, organized, and self-motivated research and evaluation professional with strong experience in program evaluation and mixed-methods research. The successful candidate should be able to lead projects with minimal guidance,

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