Machine Learning Engineer, Imaging AI
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About The Position
When you join BMS, you are joining a diverse, high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. This team of computational scientists is responsible for advancing Bristol Myers Squibb's industry-leading pipeline through development and application of cutting-edge tissue-based image analysis approaches, often in multi-modal context (e.g. spatial transcriptomics, combining different imaging modalities or imaging with molecular data). We collaborate with various internal stakeholders, including pathologists, biologists, and other computational scientists to understand disease biology and contribute to the development of novel treatments. The team impacts all aspects of R&D at BMS, from early discovery through late-stage development. The successful candidate will contribute to designing and implementing our data and compute infrastructure, in close collaboration with Research IT and other IPS researchers. The infrastructure englobes high-performance compute for in-house model training, commercial solutions, and resources provided by external partners.
