Summary 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 • 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 • 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 Preferred Qualifications • 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. 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 • 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. • Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.