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research on type 2 diabetes and cardiometabolic disease. We are a computationally focused lab in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics, working at
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cellular endpoints. In parallel, the fellow will perform complementary functional studies to investigate tumor cell state, lineage programs, and therapeutic response. This work will incorporate a broad
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Bioinformatics, Applied Mathematics, Statistics, Genomics and Genetics, or related Data Sciences also considered) with relevant experience in bioinformatics and cancer biology Demonstrated publication track
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scientific record, and excellent communication skills. Expertise in epithelial biology, mucosal immunology, organoids, mouse models, bioinformatics, or computational biology is particularly valued. Fellows
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as part of a team. Desired Qualifications* Preferred but not required: expertise in bioinformatics (e.g., R/Python) Why Join Michigan Medicine? Michigan Medicine is one of the largest health care
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. Demonstrated ability to independently design, execute, and interpret complex in vitro and in vivo experiments. Desired Qualifications* Working knowledge of basic bioinformatics analysis (e.g., RNA-seq
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--material interactions with the design and development of experimental platforms for rapid, automated materials processing and characterization. The researcher will work at the
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computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field Experience with proteomic, metabolomic, or other omic data analysis in a research context
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/blood draw (preferred) processing. Dissemination and Translation: Author high-impact manuscripts for peer-reviewed journals, present research findings at national/international professional conferences
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Development: Independently write, optimize, and maintain custom data processing pipelines and scripts for large-scale biomechanical datasets Dissemination and Translation: Author high-impact manuscripts for