





This internship offers the most talented students the opportunity to gain valuable work experience with us. You will work with large-scale genomic data and produce Polygenic Risk Scores (PGS) to investigate the complex genetic architecture of chronic kidney disease (CKD) and metabolic dysfunction (i.e type 2 diabetes, obesity endotypes). As a member of a highly collaborative, multidisciplinary team, you will use your skills to generate significant contributions with practical impact for patients, and you will gain valuable expertise to advance your scientific career. You will be responsible for: building automated PGS workflows to map the complex genetic architecture of Cardio-Renal-Metabolic diseases. Defining mechanistic endotypes through patient clustering and identifying "resilient" outliers—individuals who remain healthy despite high genetic risk—to uncover protective modifiers. The role involves: Mining large-scale genomic, proteomics and electronic health record datasets to drive target discovery. Translating complex genetic architecture into actionable biological insights for drug development. You will gain experience in: high-throughput genomic analysis and advanced patient stratification at a population scale. Precision medicine methodologies and Pharmaceutical R&D workflows, learning how data science directly influences the selection of new therapeutic targets. You will develop skills in collaboration and strategy while working in a team culture that values a collaborative workplace, scientific rigor, open feedback, and scientific growth.