Develop computational methodology and perform critical analyses to support development of new products and improvements to existing products, both as an individual contributor and/or as a team leader; Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects; Work closely with bench scientists to develop and optimize new wet-lab protocols in concert with computational biology development efforts; Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns
Requirements:
PhD in a life science or computational discipline; 5+ years of postdoctoral research or professional experience related to NGS or cancer diagnostics
Text:
Principal Scientist, Computational Biology Develop computational methodology and perform critical analyses to support development of new products and improvements to existing products, both as an individual contributor and/or as a team leader; Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects; Work closely with bench scientists to develop and optimize new wet-lab protocols in concert with computational biology development efforts; Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns PhD in a life science or computational discipline; 5+ years of postdoctoral research or professional experience related to NGS or cancer diagnostics
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