916 phd-position-in-data-modeling-"Prof"-"Prof" positions at The University of Chicago
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. Experience: Understanding of various common data models (OMOP, PCORnet). Experience with ETL tools. Experience working with application development and/or agile teams. Licenses and Certifications: Epic Clarity
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specialized skills in data integration, statistical modeling, and interpretation to advance the project’s goals. This at-will position is wholly or partially funded by contractual grant funding which is renewed
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The University of Chicago Academic Jobs Data Science Preceptor Data Science, Physical Sciences Division Position Type: Staff Salary Range: $69,700 - 90,200 Chicago, IL Oct 2, 2025 Description
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The University of Chicago Academic Jobs Associate Professor of Data Science Physical Sciences Division Position Type: Faculty Salary Range: $162,000-$198,000 This base pay range is for a nine-month
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The University of Chicago Academic Jobs SkAI Data Science Preceptor Data Science, Physical Sciences Division Position Type: Staff Salary Range: $69,700 - 90,200 Chicago, IL Oct 2, 2025 Description
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The University of Chicago Academic Jobs Assistant Professor of Data Science Physical Sciences Division Position Type: Faculty Salary Range: $135,000-$165,000. This base pay range is for a nine-month
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concerns, provide guidance, and ensure a positive and supportive environment. Provides financial input based on the development of data collection, metrics, reports and other analytical applications. Analyze
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to the position. 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
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. The Section is well poised to both take advantage and contribute to these revolutions in the understanding and treatment of rheumatic diseases. Job Summary The Data Science, Analyst will work to improve and
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data