1,947 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Michigan
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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
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about research project and the role of participants from their school/district Recruitment: assist in finding and recruiting potential testers for fall and spring, assist in organizing testers Data
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monitoring data accessible to the public by developing a website and automating data updates. The assistant will help build a user-friendly platform that shares sensor readings, connect hardware data streams
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Apply Now Responsibilities* Assist with cleaning, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic
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experience in statistics and data science to be submitted directly through MathJobs. Job Summary The Department of Statistics at the University of Michigan invites applications for a Lecturer I position in
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Assistant/Full Stack Developer for a paid opportunity as a temporary employee to assist and support the development of a centralized clinical data system and dashboard for the University of Michigan