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Position: Senior Computational Biologist
Institution: Pfizer Inc.
Location: Cambridge, Massachusetts, United States
Duties: Work effectively in cross-functional teams and provide computational biology expertise to advance drug discovery for neuroinflammation and neurodegeneration; Analyze and integrate multi-omics data to identify novel therapeutic targets, review and validate therapeutic hypotheses, better understand disease mechanisms and causal pathways, and inform translational medicine strategies; Apply machine learning to the rich multi-level data (genetics, multi-omics, neuroimaging, fluid biomarkers, and clinical data) for target discovery, indication prioritization, and biomarker development
Requirements: Ph.D. in Computational Biology, Neuroscience, Statistics, Computer Science, or a related discipline; 5+ years of relevant research experience in applying advanced computational biology to solving biomedical problems; Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research; Strong background and knowledge in human biology and/or medicine, especially neuroscience and related diseases
   
Text: Senior Computational Biologist Work effectively in cross-functional teams and provide computational biology expertise to advance drug discovery for neuroinflammation and neurodegeneration; Analyze and integrate multi-omics data to identify novel therapeutic targets, review and validate therapeutic hypotheses, better understand disease mechanisms and causal pathways, and inform translational medicine strategies; Apply machine learning to the rich multi-level data (genetics, multi-omics, neuroimaging, fluid biomarkers, and clinical data) for target discovery, indication prioritization, and biomarker development Ph.D. in Computational Biology, Neuroscience, Statistics, Computer Science, or a related discipline; 5+ years of relevant research experience in applying advanced computational biology to solving biomedical problems; Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research; Strong background and knowledge in human biology and/or medicine, especially neuroscience and related diseases
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