Principal Scientist, Oncology Informatics, AI agents

Bristol Myers Squibb

2d

About The Position

We are seeking a highly motivated and innovative Principal computational scientist to lead efforts at the intersection of machine learning, agentic AI, and oncology target discovery. In this role, you will create and implement advanced algorithms and agent-based tools to analyze complex biological and clinical datasets to identify new therapeutic targets and deepen our understanding of resistance to standard care. In close partnership with cross-functional teams, you will integrate functional screens, diverse ‘omics and real-world data to generate actionable insights. This role offers a unique opportunity to establish and scale cutting edge analytical capabilities that meaningfully accelerate oncology target discovery and improve patient outcomes.

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.
• Demonstrated experience developing and deploying applied AI agents and/or complex LLM‑driven applications in research or industry settings.
• Strong understanding of analytical approaches for functional genomics, single‑cell and spatial ’omics, and real‑world patient data.
• Solid grounding in systems biology, molecular biology, and/or disease biology within a drug discovery context; experience in oncology is strongly preferred.
• Scientific Impact: Strong publication record in machine learning, bioinformatics, or computational biology, with the ability to clearly and effectively communicate scientific research to peers.
• Soft Skills: Excellent communication and collaboration skills, with the ability to operate effectively in ambiguous, fast‑paced research environments and influence diverse stakeholders.

Responsibilities

• Design, build, and deploy applied AI and agentic systems that automate and augment analytical workflows for target identification and validation from high-throughput omics, functional genomics, and perturbation screening datasets.
• Design, build, and deploy applied AI and agentic systems to automate and augment analytical workflows for target identification and validation using high‑throughput omics, functional genomics, and perturbation screening data.
• Lead the integration of agentic and machine learning solutions into cross‑functional research workflows in close collaboration with stakeholders.
• Integrate and analyze large‑scale, patient‑derived, multimodal datasets to elucidate disease biology, resistance mechanisms, and patient stratification opportunities.
• Translate complex analytical results into clear, actionable insights that inform scientific strategy and enable decision-making.
• Author scientific reports and present methods, results, and conclusions to a publishable standard.
• Contribute to the planning and execution of collaborative projects within and across functional groups.

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 Years 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.

What This Job Offers

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