1,957 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" uni jobs at University of Michigan
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identities, infographics, and data visualization elements using a strong design and typography sensibility. Produce HTML content in collaboration with the web and CRM administrators. Take projects from concept
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regulatory standards. This position demands a keen eye for detail, a deep understanding of medical terminology, and the ability to maintain patient confidentiality and data integrity. The Professional Coder
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. Responsibilities* Abstract health information from participating patient's paper or electronic medical record from area hospitals; enter abstracted data into standard data collection tool, completing required
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well as other B+I programs and strategic initiatives, and lead data entry and tracking for impact, operational, and stakeholder engagement data collection. You will report to the Program & Strategic Initiatives
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in the position and relate your skills and experiences to the qualifications described in this posting. Job Summary The Data Science for Dynamic Intervention Decision-Making Center (d3center) is
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schedules patient appointments utilizing Cadence. Manages pre-arrival functions to assure all necessary information has been obtained for clinic visits. Serves as a resource for providers and other staff
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. Ensure proposal information is accurate and complete including all needed supporting documentation, and complies with sponsor terms, Medical School, University policies/procedures and federal regulations
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change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information This appointment will begin on January 1, 2027, and will end on April
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annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information This appointment will begin on
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or therapeutic vaccines. The Research Lab Specialist exercises professional judgment, scientific discretion, and accountability for data rigor, reproducibility, and project milestones, contributing directly to