Principal Scientist, Computational Biology

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.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

About the role

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 doing so, our work transforms the lives of patients, as well as our own lives and careers.

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

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)

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

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 hands-on experience implementing and/or developing statistical methodologies and machine learning algorithms (such as single cell foundation models) applied to 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 agents such as Claude coding to accelerate workflow preferred
• Scientific curiosity with an ability for self-learning
• Strong oral and written communication skills

Pay

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.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life Benefits Include:
  • Paid Time Off:
    • US Exempt Employees: flexible time off (unlimited, with manager approval), 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
    • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
  • Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs, and an annual Global Shutdown between Christmas and New Year's Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

Schedule

On-site Protocol: BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes Site-essential, Site-by-design, Field-based, and Remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

• Site-essential roles require 100% of shifts onsite at your assigned facility.
• Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive company culture.
• For field-based and remote-by-design roles, the ability to physically travel to visit customers, patients, or business partners and to attend meetings on behalf of BMS as directed is an essential job function.