Senior Computational Biologist: Multi-Omics & Targets

Biopharma Careers; Virginia (MN); On-site; USD 167,000 - 202,000; Full time

Benefits offered by this job

Health Coverage

Paid Time Off

Job summary

Bristol Myers Squibb in Cambridge, MA seeks a Principal Scientist, Computational Biology to advance NIC discovery through integrative analyses of multimodal data and cutting-edge computational methods. You will collaborate across disciplines, lead ML-based studies, and shape target nomination in Neuro, Cardiovascular and Autoimmune areas.

The role emphasizes strong programming, deep biology expertise, and the ability to communicate complex results to diverse audiences.

Qualifications

• PhD in a quantitative field and 5+ years of post-graduate experience.
• Proficiency in R or Python for computational research and reproducible practices.

Responsibilities

• 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 with wet lab scientists.
• Apply machine learning and statistical approaches to compare high-dimensional readouts from perturbation experiments to disease states and nominate/validate targets.
• Collaborate with external partners in industry, academia, and pre-competitive collaborations on novel computational and experimental approaches.
• Communicate findings and recommend follow-up actions in multiple settings (1:1, seminars, team meetings).

Skills

R/Python programming

Computational biology

Machine learning

Statistical methods

Communication skills

Education

PhD in computational biology or related

Job description

Bristol Myers Squibb in Cambridge, MA seeks a Principal Scientist, Computational Biology to advance NIC discovery through integrative analyses of multimodal data and cutting-edge computational methods. You will collaborate across disciplines, lead ML-based studies, and shape target nomination in Neuro, Cardiovascular and Autoimmune areas.

The role emphasizes strong programming, deep biology expertise, and the ability to communicate complex results to diverse audiences.