Principal Scientist, Computational Biology

Bristol Myers Squibb•Needham, MA

5d•$166,770 - $202,086•Onsite

About The Position

At Bristol Myers Squibb (BMS), our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. 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 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.

Requirements

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

Nice To Haves

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

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 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)

Benefits

wellbeing support
retirement and financial protection benefits
insurance offerings (medical, dental, vision, life and disability)
Flexible Time Off (FTO)
11 paid company holidays each year
160 hours of paid vacation annually for new hires
3 optional holidays
paid sick leave
up to two paid volunteer days per year
summer hours flexibility
leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
annual Global Shutdown between Christmas Day and New Year's Day