Passionate about making a difference in the world of cancer genomics? With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before but providers don’t have the infrastructure or expertise to make sense of this data. We’re on a mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings. We are looking for a post-graduate who will work within our computational biology team to build tools for clinical and research use. Responsibilities include: Perform rigorous quantitative analysis of high dimensional molecular and clinical data with a focus on biomarker discovery Utilize a variety of computational tools to analyze sequencing variants from NGS data Help develop and validate novel computational tool(s) for clinical genomics platform Work independently and with other teammates in an interdisciplinary setting Effectively communicate project updates and key findings in weekly progress meetings Participate in research and development of new gene panels and tests, and updates to existing tests Qualifications: PhD degree in Human Genetics, Cancer Genetics, Biological Sciences or a relevant quantitative discipline (eg bioinformatics, computational biology, statistical genetics, etc) Proficient in a scripting language, preferably Python or R Familiarity with human mutation databases, genome browsers, and HGVS nomenclature Demonstrated attention to detail, excellent communication and writing skills
