Principal Scientist, Computational Biology

Position Overview

Principal Scientist, Computational Biology – Neuroscience, Immunology, and Cardiovascular (NIC) Discovery Team, Informatics and Predictive Sciences, Bristol Myers Squibb.

Location:

Cambridge, MA (no fully remote option).

• Perform computational research and integrative analyses on multimodal biological profiling datasets (e.g. transcriptomic, proteomic, single-cell omics, spatial profiling) designed in collaboration 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; nominate and validate new targets for neuro, cardiovascular and autoimmune disease indications.
• Collaborate with external partners in industry, academia, and pre‑competitive consortia (e.g. NIH Accelerating Medicines Partnership) to develop 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 a 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 preferred) with a track record of publications in driving and advancing research projects/programs.
• 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 experience implementing or developing statistical methodologies and machine learning algorithms (e.g., single‑cell foundation models) applied to biological problems.
• Background in human disease biology, especially autoimmune diseases, strongly preferred.
• Experience applying computer vision models to cellular imaging data.
• Experience utilizing AI agents such as Claude for coding to accelerate workflow.
• Scientific curiosity, strong oral and written communication skills.

Annual base salary range: $166,770 – $202,086 (Cambridge, MA). Additional incentive cash and stock opportunities may be available. Benefits include health coverage (medical, pharmacy, dental, vision), wellness programs, 401(k) plan, paid time off, life insurance, and other standard BMS benefits. For a complete benefits overview, please visit

BMS is an equal‑opportunity employer and provides accommodations to qualified individuals with disabilities. All qualified applicants are considered for employment without regard to race, color, religion, sex, national origin, disability, or veteran status.