1,484 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Michigan
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of the strategic plan goals. Work closely with tech and data teams to continuously improve the participant experience and engagement data tracking. Establish collaborative and productive relationships with essential
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and deadlines change. Capacity to exercise initiative, independent judgment, diplomacy, and confidentiality with a positive attitude. Excellent computer skills-proficient use of: Excel, including basic
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models, as well as human data Participate in the supervision of laboratory technicians and graduate students under the direction of the PI mentor Participate in writing grants and scientific papers
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the Huycke and West laboratories. This role spans two independent research programs and requires advanced mouse colony management, regulatory oversight, complex experimental execution, data analysis, decision
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students working on software development projects Required Qualifications* Bachelor's degree in computer science, electrical/computer engineering, or a related field 3-5 years of experience in application
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two ongoing research projects focused on prenatal stress and parent-child development. The Research Assistant will assist with participant visits, data collection and management, participant
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are seeking a data analyst to collaborate with our team in analyses of claims data, survey data, financial data and innovative linkages across datasets. Experience with large administrative data analysis and
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coordination and data entry support to faculty and research teams for the University of Michigan CS Mott Children?s Hospital. Our program is renowned for our expertise in cancers like leukemia, lymphoma, and
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existing work, complete tickets within acceptable time frames Install, configure, customize, troubleshoot, integrate, and maintain systems, software, and other devices Track computer systems and device
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resolve issues to keep projects and grant applications on track. Quality & Compliance: Ensure adherence to data integrity, NIH standards, IRB protocols, internal SOPs, and regulatory requirements