2,054 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at University of Michigan
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track initial, update, revalidation, and termination applications for professional and facility providers across all assigned government and commercial payors. Maintain accurate data in internal systems
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responsibilities include: Prompt completion of training activities; Review patient eligibility using health and medical information, including medical record data; Recruitment and enrollment of eligible patients
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, including appeals such as Satisfactory Academic Progress (SAP), and develops consistent, effective training frameworks for new and continuing staff. The position ensures that financial aid information 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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enrich the future. The University of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas and information, not only in the classroom but in
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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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posting information on various social media outlets; develop long-term social media goals for both units. Coordinate with guest seminar speakers and contributors regarding itineraries, travel, hotel
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2:1 Match on retirement savings Responsibilities* Accurately and efficiently schedule patient appointments utilizing Cadence. Management of pre-arrival functions to ensure all necessary information
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situations in a calm and professional manner; utilizing predefined processes Procure supplies, equipment, and services for patients Maintain census information Monitor infant security system Communicate
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential