Principal Scientist, Translational Computational Biology

Principal Scientist, Translational Computational Biology within BMS's Oncology Translational IPS team, focusing on embedding computational expertise into oncology drug development from discovery through early clinical phases. Responsibilities analyze multimodal patient-derived datasets-including spatial transcriptomics, spatial proteomics, RNA-seq, WES, ctDNA, TCR-seq, and flow cytometry support biomarker and patient stratification strategies interpret data to inform target validation, IND-enabling studies, and early clinical decisions develop and deploy AI-enabled methods for evidence integration and hypothesis generation lead computational ownership of spatial biology platforms mentor junior scientists and enhance portfolio capabilities through scalable, reproducible workflows Requirements Ph.D. in computational biology, bioinformatics, or related, with 4+ years relevant experience, or equivalent with additional years strong programming skills in R/Python experience with spatial biology platforms (Xenium, Visium, COMET, PhenoCycler) familiarity with oncology drug development and biomarker strategies proven ability to translate complex data into actionable insights Preferred expertise in spatial transcriptomics and proteomics, AI and machine learning applications in translational science, perturbation biology, and regulatory network analysis experience in oncology translational research or early clinical development publication record in methods development High-Value Oncology, spatial biology, multimodal patient data, early-phase clinical support, biomarker strategy, and computational innovation in drug discovery. Work Setup Likely hybrid or onsite in Cambridge, with collaboration across multi-disciplinary teams. #J-18808-Ljbffr Bristol Myers Squibb