Principal Scientist, Computational Biology

Bristol-Myers Squibb Co

United States

On-site

USD 167,000 - 202,000

Full time

4 days ago
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Benefits offered by this job

Wellbeing support
Retirement benefits
Insurance coverage
Flexible time off
Paid holidays
Paid vacation

Job summary

Bristol Myers Squibb Co. Cambridge, MA is seeking a senior computational scientist to design and perform integrative analyses of multimodal biological data, driving early pipeline programs with wet lab partners.

The role emphasizes applying ML and statistical methods to derive insights for Neuro, Cardiovascular and Autoimmune targets, in a cross-functional team with external collaborators.

Qualifications

  • PhD in quantitative field with 5+ years of post-graduate experience.
  • Advanced hands-on knowledge of Python or R for computational research and reproducible practices.

Responsibilities

  • Perform computational research and integrative analyses on multimodal biological data to support early pipeline programs.
  • Apply machine learning and advanced statistical approaches to relate perturbation readouts to disease states in cross-functional teams.
  • Collaborate with external partners in industry, academia, and pre-competitive collaborations on novel approaches.
  • Communicate findings and recommended next steps in seminars and team meetings.

Skills

Python
R
Machine learning
Communication

Education

PhD in related quantitative field

Tools

Python
R

Job description

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. 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. This is work that transforms the lives of patients, and the careers of those who do it. When you join BMS, you are joining a high-achieving team united by a common mission. 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. Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

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)
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
Compensation Overview

Cambridge Crossing: $166,770 - $202,086 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits
  • wellbeing support
  • retirement and financial protection benefits
  • insurance offerings (medical, dental, vision, life and disability)
  • Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval
  • 11 paid company holidays each year
  • 160 hours of paid vacation annually for new hires (subject to manager approval)
  • 11 paid company holidays (for non‑exempt employees)
  • 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

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

Where we Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.

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