1,582 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Michigan
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-funded Collaborative Quality Initiative (CQI). The Clinical Data Abstractor (CDA) is responsible for collecting, analyzing and reporting clinical data elements on eligible cases as well as, participate in
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Apply Now Job Summary We are looking for 2 temporary technical consultants to provide support to our HR Data & Analytics team. Duties may include: Assist with data collection, entry, and validation
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qualifications, experience, and education. Job Summary The University of Michigan's Data Science Practice team is seeking a Data Engineering Lead to help lead our data engineering and architecture teams. As
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Apply Now Job Summary The Michigan Value Collaborative (MVC), housed at the University of Michigan, is seeking a detail-oriented self-starter to join the team in the role of Lead Data Analyst
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in the position and outline skills and experience that directly relate to this position. Job Summary The Physician Relations and Outreach Data Reporting Analyst is responsible for transforming raw data
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the goal of using data and analytics to support decision makers during public health emergencies and improve public health practice. Co-Directors Drs. Marisa Eisenberg and Emily Martin and their colleagues
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Apply Now Job Summary The Michigan Value Collaborative (MVC), housed at the University of Michigan, is seeking a detail-oriented self-starter to join the team in the role of Lead Data Analyst
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, and accomplishments directly relate to this position. Job Summary Mission: The Office of University Development maximizes private support for the University of Michigan. Reports to: Director of Data
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among high school students in Des Moines Public Schools. The study is called Project LIVE (see below). We are hiring a temporary Data Management Advisor to support this work on an hourly basis. Using a
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| Click Here to Join Monday's Teams Meeting Job Summary The Supply Chain Services Data Architect Senior is responsible for designing, constructing, migrating, and maintaining robust, scalable data models