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cancer relapse and targeted therapy response. Responsibilities* Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and
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perform bioinformatic data analysis on proteogenomic data generated across high-throughput profiling platforms from multiple cancer types. 2) Establish a comprehensive clinico-genomic database, web resource
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diagnostics The successful candidate will be expected to conduct wet-lab molecular biology, tissue culture, and high throughput screen experiments. Knowledge of bioinformatic analyses is considered a strength
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vivo experiments. Desired Qualifications* Working knowledge of basic bioinformatics analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset
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degree (PhD, MD/PhD, or MD) in computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field Experience with proteomic, metabolomic, or other omic
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-author publication arising from independent computational project work Provide analytical support to wet-lab and computational team members across ongoing projects, including data processing, quality
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or more of the following is preferred: transcriptomics, FACS, confocal imaging, electrophysiology, bioinformatics, or multi-omic data analysis. Desired Qualifications* Highly productive and goal-oriented
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-being and achievement - enabling everyone to unlock their potential and contribute with confidence. Job Summary Manufacturing is a highly complex field involving materials, machines, and processes
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requires working both in-person in Lansing at the Michigan Department of Agriculture and Rural Development (MDARD) and remotely. IMPORTANT NOTE: ***Do not use AI tools in any part of the application process
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calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has