Principal Scientist, Computational Biology

Working with UsChallenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.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.Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.We seek a creative and passionate computational biologist to join the Neuroscience, Immunology, and Cardiovascular (NIC) discovery team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will apply your analytical skills to single cell, multi-omics, spatial profiling as well as gene perturbation datasets generated from both patients and model organisms. You will work as part of a cross-functional team focused on Neuroscience, Immunology and Cardiovascular early pipeline programs. In so doing, you will contribute to the discovery of targets and compounds that directly address unmet medical need in patients within NIC space.Location: Cambridge, MA ; no remote optionResponsibilitiesPerform computational research and integrative analyses on multimodal biological profiling datasets (e.g. transcriptomic, proteomics, single cell omics, spatial profiling) to support early pipeline programsApply machine learning, and other advanced computational/ statistical approaches, to compare high-dimensional experimental readouts from perturbation experiments/screens (e.g. CRISPR screens, perturb-seq, cellular imaging) to disease states defined by patient data and work as part of a cross-functional team to nominate and validate new targets for Neuro, Cardiovascular and autoimmune diseases indicationsWork with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approachesCommunicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)Basic QualificationsPrincipal Scientist Bachelor's Degree in computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline 8+ years of academic / industry experienceor Master's Degree in computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline 6+ years of academic / industry experienceor PhD in computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline 4+ years of academic / industry experiencePreferred QualificationsAdvanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices5+ years of post-graduate experience in computational biology research (biopharma industry preferred) with track record (such as scientific publications) in driving and advancing research projects/programs with computational approachesHands on experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA-seq, ATAC-seq, proteomics, ChIP-seq/CUT&RUN ), single cell (CITE-seq, scATAC-seq, perturb-seq)Hands on experience on spatial profiling (Xenium, Visium, GeoMx, CosMX ) data analyses and interpretationExperience implementing and/or developing statistical methodologies and machine learning algorithms applied to the biological problemsBackground in human disease biology, especially in areas of neurodegenerative disease, cardiovascular diseases and autoimmune diseases strongly preferredExperience applying computer vision models to cellular imaging data preferredExperience utilizing  and applying AI agent such as claude coding to accelerate workflow preferredScientific curiosity with an ability of self-learningStrong oral and written communication skillsIf you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Compensation Overview:Cambridge Crossing: $166,770 - $202,086 The starting compensation range(s)