Bristol-Myers Squibb - Princeton, NJ
posted 3 months ago
We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization at Bristol Myers Squibb. This team of computational scientists is responsible for advancing Bristol Myers Squibb's industry-leading pipeline through the development and application of cutting-edge tissue-based image analysis approaches, often in a multi-modal context, such as spatial transcriptomics and combining different imaging modalities or imaging with molecular data. The successful candidate will play a crucial role in collaborating with various internal stakeholders, including pathologists, biologists, and other computational scientists, to understand disease biology and contribute to the development of novel treatments. This position impacts all aspects of R&D at BMS, from early discovery through late-stage development. The successful candidate will be responsible for designing and leading the implementation of our data and compute infrastructure, in close collaboration with Research IT and other IPS researchers. The infrastructure encompasses high-performance compute for in-house model training, commercial solutions, and resources provided by external partners. This position would suit a researcher in imaging AI with experience in infrastructure, or an engineer with an interest in AI research in a biomedical context. If you are not sure if your profile fits, but are intrigued by the position, we very much encourage you to apply.