Principal Scientist, Computational Biology

Working with Us

Challenging. 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.

Location:

Cambridge, MA ; no fully remote option

• Perform computational research and integrative analyses on multimodal biological profiling datasets (e.g. transcriptomic, proteomics, single cell omics, spatial profiling) that you help to design together with wet lab scientists to support early pipeline programs
• Apply 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 indications
• Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approaches
• Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)

• PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 5+ years of post-graduate experience
• Advanced hands‑on knowledge of at least one high‑level programming language such as R or Python for computational research and reproducible research practices

• 5+ 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 approaches
• Hands on experience analyzing and integrating high‑dimensional molecular datasets such as multi‑omics (RNA‑seq, ATAC‑seq, proteomics, ChIP‑seq/CUT&RUN), single cell profiling (CITE‑seq, scATAC‑seq, perturb‑seq) and/or spatial profiling to derive novel biological insights
• Strong quantitative skills, with hand on experience implementing and/or developing statistical methodologies and machine learning algorithms (such as single cell foundation models ) applied to the biological problems
• Background in human disease biology, especially in areas of autoimmune diseases strongly preferred
• Experience applying computer vision models to cellular imaging data preferred
• Experience utilizing and applying AI agent such as claude coding to accelerate workflow preferred
• Scientific curiosity with an ability of self‑learning
• Strong oral and written communication skills

Cambridge Crossing: $166,770 - $202,086

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based…