1,613 data-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Michigan
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are seeking a Hydrologic Data Scientist to support efforts underway at the Cooperative Institute for Great Lakes Research (CIGLR) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) to develop
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experience conducting independent research, with preference to relevant work (e.g., Python coding, software use / development). Demonstrated skills in data science such as data analyses, visualization, quality
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support to the U-M community. For more information about ITS, visit: https://its.umich.edu/about Why Work at Michigan? In addition to a career filled with purpose and opportunity, The University of Michigan
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the necessary support to position our researchers for success. The Medical School Grant Services & Analysis Office handles the MM data capture of externally sponsored projects for Michigan Medicine for proposals
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on existing and new projects related to data management, data analysis, and data visualization. The ideal candidate should have experience with statistical software such as Stata and R, as well as skills in
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at Michigan Medicine. You'll collect, organize, and analyze data to help leaders make informed strategic decisions and improve clinical processes. You'll design dashboards and reports, and ensure data is
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responsible for patient recruitment, data collection and data entry for the Division of Pain Research. This is a fast-paced clinical environment with a dynamic team. Emphasis is placed on maintaining a positive
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Disease Center (MADC) is seeking a Research Area Specialist Associate (RAS; Associate-level) for its Data Management and Statistical Core (DMSC). Hours are full time, 40 per week, Monday-Friday. This is a
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at Michigan Medicine. You'll collect, organize, and analyze data to help leaders make informed strategic decisions and improve clinical processes. You'll design dashboards and reports, and ensure data is
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: developing and writing issue briefs, legislator briefing materials, project reports and other written products; analyzing healthcare claims data, survey data, and qualitative data generated through interviews