Principal Scientist, Oncology Informatics, AI agents Full-time

Principal Scientist, Oncology Informatics, Ai Agents

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. Take your career farther than you thought possible.

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.

When you join BMS, you are joining a diverse, 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.

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.

Key responsibilities include:

• 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.

Basic qualifications include:

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

Preferred qualifications include:

• 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.
• Strong publication record in machine learning, bioinformatics, or computational biology, with the ability to clearly and effectively communicate scientific research to peers.
• Excellent communication and collaboration skills, with the ability to operate effectively in ambiguous, fast‑paced research environments and influence diverse stakeholders.

Compensation overview:

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.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• 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: 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.

Uniquely interesting work, life-changing careers

With a single vision as inspiring as “Transforming patients' lives through science™ “, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

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