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Apply Now Responsibilities* Support clinical healthcare and research activities through business intelligence data analysis, database marketing, data mining, dashboard creation, and data management
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such as descriptive analytics, statistical analysis, simulation modeling, time-series forecasting, hypothesis testing, and optimization Experience with intelligent automated tools and models Data mining
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using data-driven wealth screening, data mining, and modeling projects. Bring the most promising opportunities for the University to the attention of appropriate colleagues. Write confidential research
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project deliverables. Recommends and takes action to direct the analysis and solutions of complex problems. Data Mining, Data Analysis with use of statistical skills for Clinical Risk and Grievance
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to the timing of a gift. Participate in projects to proactively identify, qualify, and quantify segments of the Michigan Medicine prospect pool through the use of screening, data mining, and modeling of existing
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success (admissions, recruiting, events, special programs, etc.) Run Business Objects reports and conduct general data mining as needed (e.g., Trends regarding recruiting initiatives, yields enrollments
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dynamic and collaborative team of data analysts, clinicians, epidemiologist, IT business solutions, and revenue cycle professionals. The analyst mines, analyzes, presents and visualizes clinical, public
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of this cancer. You will manage multifaceted genomic and proteomic datasets generated in the overall research effort as well as mine relevant published data from public resources. Why Join Michigan Medicine
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& National recruitment event logistics (contracts, moving, travel coordination, giveaway, and event expenditures) Applicant sourcing- mining from Applicant Tracking System and identifying/notifying recruiters
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the U-M eResearch Proposal Management system. Previous experience with data mining in MPathways, Business Objects, and other complimentary systems is desired. Underfill Statement This position may be