2,023 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Michigan
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experimental tools to answer research questions. Analyze and interpret experimental data, including application of basic bioinformatic tools and statistical models. Coordinates external and internal resources
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Maintain appropriate personal hygiene and professional appearance Maintain excellent attendance record Operate basic IT equipment (ex. iPad, computer) Why Join Michigan Medicine? Michigan Medicine is one
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Information This is an on-site position (40 hours/week). The individual will serve as the primary administrative point of contact for the Division Chief's office. On occasion, activities will extend beyond
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of computer systems (i.e. Microsoft applications such as Outlook, Word, Excel) Basic understanding of budgets and demonstrated ability to spend to a fixed budget Desired Qualifications* Associates degree and
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* The candidate will: Gather patient data, supervises data collection and verification for clinical research
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complex flow cytometry experiments, coordinating daily lab operations, and assisting with project logistics. They will also contribute to data analysis and interpretation. This position is a great
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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of the data and escalate issues appropriately Provide technical assistance and support to areas involved with database and hospital information system (HIS) management, the LIS, electronic medical record (EMR
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, develop long-range plans, and build effective and productive teams. Collaborate to develop robust metrics and evaluation plans for interventions and use evaluation data to continually improve interventions