1,916 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Michigan in United States
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Apply Now Job Summary The Clinical Information Analyst Lead for the Michigan Structural Heart Consortium (MISHC) supervises activities related to data abstraction, monitoring, validation, analysis
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Troy campus leadership. Coordinate recruitment logistics of site leaders and support onboarding of leaders and staff joining the Troy campus. Deliver essential background information to leaders prior
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discharges while maintaining accurate records and census information. Support clinical staff by processing orders and referrals, coordinating appointments and tests, and acting as a communication liaison
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caring attitude. Operate equipment to maximize image quality and data acquisition. Choose appropriate transducers, adjust control settings, and follow standard protocols to complete each study. Make
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Apply Now How to Apply Candidates can apply by uploading a short cover letter as the first page of the CV with contact information for three references. The cover letter should address reasons
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role will involve working closely with our team to enhance patient care quality through data analysis, various research activities, and project support. This position offers an invaluable opportunity
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to the evolution of the Revenue Cycle environment. Oversee the capture and analysis of data regarding operational performance. Conduct regular staff meetings for a home-based workforce. Assess assigned operations
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. Monitor and keep the research team informed of study progress, including study visit progress, data collection, and institutional approvals. Work collaboratively with other team members. Required
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holistic and proactive advising initiatives within the advising center by collecting, analyzing, and applying student data to inform strategies that support student success. They will use data to identify
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Intelligence (AI), Machine Learning (ML), and Data Science (DS) into cybersecurity education. The project builds full-cycle labs that move from attack/data generation to feature engineering, model development