Principal Scientist, Computational Biology
Bristol Myers Squibb
Summary
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 fully remote option
Job description
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)
Basic Qualifications
- 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
Preferred Qualifications
- 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
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
- 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
Benefits
- Medical, Dental & Vision
- Life & Disability Insurance
- Retirement Benefits
- Flexible Time Off
- 11 Paid Holidays
- Paid Sick Leave
- Volunteer Days
- Summer Hours Flexibility
- Global Shutdown
Company overview
Bristol Myers Squibb is a global biopharmaceutical company dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. Founded in 1887 and headquartered in Princeton, New Jersey, the company operates with a unique BioPharma strategy that combines the reach and resources of a major pharmaceutical company with the entrepreneurial spirit and agility of a biotech firm. BMS focuses on transformative therapies in key therapeutic areas including oncology, hematology, immunology, cardiovascular disease, and fibrosis. The company has built a sustainable pipeline of potential therapies and leverages translational medicine and data analytics to deliver the right medicine to the right patient at the right time. With over 10,000 employees worldwide, Bristol Myers Squibb maintains a strong commitment to scientific excellence, patient-centric innovation, and global health equity through its foundation. The company's portfolio includes groundbreaking treatments such as Opdivo (nivolumab) for cancer, Eliquis (apixaban) for cardiovascular conditions, and Orencia (abatacept) for autoimmune diseases, among others.