Vivek Das is a Lead Data Scientist with over a decade of experience applying computational biology, multi-omics, and AI to translational and clinical questions in cardiometabolic disease. He combines a PhD in Molecular Medicine (Computational Biology) with industry leadership at Novo Nordisk, where he builds GxP-compliant, reproducible analytics pipelines and has deployed end-to-end snRNA-seq and spatial suites in late-stage trials. Vivek excels at translating complex omics and longitudinal clinical data into regulatory-grade insights, biomarker strategies, and decision-support tools that accelerate R&D and labeling strategies. He leads cross-functional teams and contributes to industry initiatives on biomarkers and pharmacogenomics, emphasizing governance and scalability as much as methodological rigor. Unusually for a senior leader, he still codes and experiments with computational methods himself, blending hands-on bioinformatics with strategic program guidance.
10 years of coding experience
11 years of employment as a software developer
PhD in Molecular Medicine (curriculum Computational Biology) Oncology and Cancer Biology, PhD in Molecular Medicine (curriculum Computational Biology) Oncology and Cancer Biology at European School of Molecular Medicine
Contributions:26 commits, 4 PRs, 23 pushes in 1 year 5 months
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