2,023 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Michigan
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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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the Associate Dean for Medical Student Education, this role involves managing timelines, coordinating all accreditation committees, and driving data collection and documentation processes. The Project
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. The research assistant will collaborate with the faculty on data collection, data management and coding, writing literature reviews, analyzing qualitative and quantitative data, writing manuscripts
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-day management of research operations, including coordinating data collection for EMA and longitudinal studies, managing IRB protocols, overseeing participant recruitment and scheduling, supporting data
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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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studies and clinical trials. Performs study visits including pre-visit preparation, data and biosample collection during visits, shipping of materials and data entry. Arranges follow-up protocol study
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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