Summary
Samuel Croset is a data science leader with 14 years of experience applying AI and advanced analytics across pharma R&D, biotech investment, and real-world evidence to inform high-stakes decisions. Currently leading data science at BB Biotech within Bellevue Asset Management, he combines deep biomedical training (PhD, Cambridge) with hands-on machine learning and RWD expertise developed at Roche and Roivant to evaluate drug targets, patient journeys, and investment opportunities. His work spans from deep-learning for imaging and molecular discovery to building indicators and HEOR analyses that have supported multi-million dollar deals. Based in Basel, he is fluent at translating complex biological data into actionable portfolio insights, and has an unusual blend of semantic/NLP, noSQL data engineering and wet-lab experience that helps bridge research, informatics and investment.
14 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Life sciences, Doctor of Philosophy - PhD, Life sciences at University of Cambridge
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at University of Geneva
French, English, German