Principal Scientist, AI-Driven Oncology Target Discovery

Bristol Myers Squibb • Needham, MA

1d • $166,770 - $202,086 • Hybrid

About The Position

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.

Requirements

• Bachelor's Degree 8+ years of academic / industry experience or Master's Degree 6+ years of academic / industry experience or PhD 4+ years of academic / industry experience

Nice To Haves

• Ph.D. in Computational Biology, Systems Biology, Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep expertise in computational target identification approaches, including functional genomics, perturbation screens, single-cell and spatial omics, and real-world patient data.
• Demonstrated experience developing and deploying applied AI agents and/or complex LLM-driven applications in research or industry settings.
• Excellent collaboration and leadership skills, with a track record of influencing cross-functional teams and operating effectively in fast-paced, ambiguous environments.
• Strong grounding in systems biology and disease biology within drug discovery, preferably in oncology, with experience translating computational findings into therapeutic hypotheses.
• Proven scientific impact, with a strong publication record in computational biology, machine learning, or bioinformatics, and the ability to communicate complex methodologies and insights effectively.

Responsibilities

• Drive integration of computational approaches into cross-functional target discovery workflows, partnering with functional genomics, discovery biology, and computational biology teams to inform target nomination and portfolio decisions.
• Lead the design and deployment of agentic AI and machine learning systems to enable scalable, end-to-end workflows for target identification, prioritization, and validation.
• Integrate and analyze multimodal, patient-derived datasets (omics, functional screens, real-world data) to uncover disease biology, resistance mechanisms, and patient stratification opportunities that inform target selection.
• Translate complex analytical outputs into clear, decision-ready insights to support Go/No-Go recommendations and guide target discovery strategy.
• Author scientific reports and present methods, results, and conclusions to a publishable standard.

Benefits

• Medical, pharmacy, dental, and vision care.
• BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• 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.
• flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees))
• 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
• 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 Years Day.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal