Post Doctoral Scientist- Human Genomics and Translational Data Science

About us: Shape the Future with AI, Ignite Your Potential Xenon7 is an inferno where skill, dedication and passion run together. About our client: Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.  We are seeking a Statistical Geneticist with expertise in whole genome sequencing (WGS), proteomics, and clinical outcomes analysis to advance our research in identifying novel therapeutic targets. This role will involve analyzing large-scale biobank and population-cohort datasets to uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists. Key Responsibilities • Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery. • Conduct rigorous analyses of large-scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes. • Develop and implement machine learning and bioinformatics pipelines to integrate multi-omics data. • Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development. • Prepare scientific reports, presentations, and publications detailing research outcomes. • Contribute to the development of novel statistical methods for analyzing high-dimensional biological data.