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Office of Research's (OoR) cutting edge data infrastructure for research. We are a collaborative, results-driven, innovative, group made up collectively of IT, business, data science, regulatory and health
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, students, and staff, who are engaged in all areas of research conducted at the University of Michigan. CSCAR @ ISR seeks a Statistical and Data Science Consultant to serve as a member of its core staff
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at the University of Michigan. CSCAR @ ISR seeks a Statistical and Data Science Consultant to serve as a member of its core staff within the Institute for Social Research. The individual will collaborate closely with
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join a high-impact, well-funded program doing science that matters. This position provides research data coordination and computational pipeline support for the program, working closely with the senior
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Health Information Management Services. Review, analyze and abstract health information from system and/or paper documentation into the electronic health record to ensure documentation meets regulatory
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technology and science, and cardiovascular surgical care. Demonstrated ability to interpret registry and performance data and assess their clinical relevance to perfusion practice, patient outcomes, and
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Qualifications* Master's degree in Health Informatics, Data Science, or related + 2 yrs exp working w/large datasets, including administrative claims data, to analyze & interpret clinical outcomes data utilizing
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computer science, data science, computer engineering, biomedical engineering, bioinformatics, informatics, or a related field. Candidates with substantial equivalent professional experience are also encouraged
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. Required Qualifications* Master's degree or higher in education or education-related field Demonstrated analytical skill with quantitative and qualitative data Strong interpersonal skills Exceptional written
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Geographic Information Systems (GIS) to map, analyze, and assess how historical wetland loss impacts modern flood vulnerability. The ideal candidate is a self-starter who excels at independent problem-solving