Work with functional and program leadership to develop and implement a computational biology roadmap and strategies; Visualize and interpret data types including genomics, transcriptomics, single cell sequencing, proteomics, and other high-dimensional datasets; Perform integrative analyses to deduce results contributing to the understanding of drug indication, mechanism of action, identification of response predictors and translational biomarkers; Establish a collaborative and influential role within biology-oriented project teams by working through the spectrum of experimental study design, assay selection, analysis, data integration and data interpretation; Work with data scientists and data engineering groups to enhance our computational infrastructure, user interface, data storage, query and visualization capabilities
Requirements:
Ph.D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 2+ years of relevant experience in immuno-oncology research and translation or M.S. with 6+ years of experience or B.S. with 8+ years of experience. Experience with oncology or immuno-oncology is preferred; Supportive of team-based research and able to work in a matrix organization; Have scientific understanding of molecular biology and genomics. Prior experience with immuno-oncology, oncology or immunology is preferred but not required
Text:
Computational Biologist - Oncology Translational Genomics Work with functional and program leadership to develop and implement a computational biology roadmap and strategies; Visualize and interpret data types including genomics, transcriptomics, single cell sequencing, proteomics, and other high-dimensional datasets; Perform integrative analyses to deduce results contributing to the understanding of drug indication, mechanism of action, identification of response predictors and translational biomarkers; Establish a collaborative and influential role within biology-oriented project teams by working through the spectrum of experimental study design, assay selection, analysis, data integration and data interpretation; Work with data scientists and data engineering groups to enhance our computational infrastructure, user interface, data storage, query and visualization capabilities Ph.D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 2+ years of relevant experience in immuno-oncology research and translation or M.S. with 6+ years of experience or B.S. with 8+ years of experience. Experience with oncology or immuno-oncology is preferred; Supportive of team-based research and able to work in a matrix organization; Have scientific understanding of molecular biology and genomics. Prior experience with immuno-oncology, oncology or immunology is preferred but not required
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