Senior Scientific Data Engineer

Working with Us 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. Read more: careers.bms.com/working-with-us. 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. Position Summary We are seeking a Senior Research AI Scientist to partner directly with discovery, translational, clinical, computational, and portfolio research teams to design, evaluate, and operationalize reusable AI-enabled capabilities for high-priority scientific needs. This role sits at the intersection of scientific expertise, applied AI, research informatics, and platform-aligned engineering. The successful candidate will translate complex scientific questions into defensible AI workflows, reusable research tools, rigorous evaluation frameworks, and scientifically grounded agentic systems supporting use cases such as target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, and decision support. This role calls for a scientist-builder with deep AI fluency and an operating mode characterized by urgency, disciplined iteration, and tight scientific feedback loops. Impact will be measured by the rigor, adoption, reusability, and scientific value of delivered capabilities, including faster and better-evidenced research decisions, validated benchmarks, and patterns that scale across teams and use cases. Key Responsibilities * Partner with discovery, translational, clinical, computational, and portfolio scientists to identify high-value research opportunities for AI and translate them into AI-tractable specifications with measurable scientific success criteria. * Architect, build, and operationalize agentic and multi-agent workflows for complex scientific tasks such as target evidence assembly, indication rationale construction, biomarker interpretation, translational synthesis, literature and evidence triangulation, and decision support. * Design reusable AI capabilities, including agentic frameworks, evaluation harnesses, MCP-enabled tool integrations, prompt and policy libraries, and research workflows intended for adoption across multiple programs rather than single-use deployments. * Establish rigorous evaluation methodologies for AI-enabled research outputs and upstream data/tool quality, including expert-reviewed benchmarks, rubric-based assessments, grounding checks, uncertainty characterization, provenance review, reproducibility criteria, longitudinal monitoring, and failure-mode analysis. * Operate with urgency and tight scientific feedback loops, converging with scientists on working artifacts quickly and pivoting based on direct evidence, evaluation results, and stakeholder input. * Collaborate with engineering, data, IT, security, legal, vendor, and platform teams to ensure AI capabilities are designed with appropriate governance, integration paths, productionization patterns, and credible scaling plans from inception. * Communicate AI opportunities, risks, limitations, evaluation outcomes, and recommended decisions clearly to scientific, technical, and executive audiences; contribute to internal standards, reference implementations, and documentation. * Stay current with developments in agentic systems, evaluation methodology, reasoning models, retrieval, grounding, biomedical AI tooling, and research informatics, and assess where they create practical value for Research. Basic Qualifications * Bachelor's Degree in computational biology, bioinformatics, genetics, biology, chemistry, pharmaceutical sciences, data science, scientific computing, or a closely related field and 7+ years of academic / industry experience * Or Master's Degree in computational biology, bioinformatics, genetics, biology, chemistry, pharmaceutical sciences, data science, scientific computing, or a closely related field and 5+ years of academic / industry experience * Or PhD in computational biology, bioinformatics, genetics, biology, chemistry, pharmaceutical sciences, data science, scientific computing, or a closely related field and 2+ years of academic / industry experience Preferred Qualifications * Demonstrated track record translating complex scientific questions into AI-enabled workflows, reusable tools, evaluation frameworks, data products, or decision-support capabilities that scientists can evaluate, trust, and defend. * Substantive hands-on experience with modern AI and large language model methods, including agentic workflows, multi-agent orchestration, GraphRAG, scaled tool use, and MCP patterns. * Demonstrated experience designing and operating scientifically rigorous evaluation frameworks for AI systems, including curated benchmark datasets, expert-reviewed reference standards, rubric-based assessments, calibration and uncertainty metrics, and regression gating that has prevented quality drift in production. * Working fluency in at least one scientific domain relevant to drug research and development \- including target biology, translational science, computational biology, clinical development, molecular invention, and biomarker science - sufficient to engage scientists as a peer on questions of evidence and interpretation. * Experience with knowledge graphs, biomedical ontologies, evidence models, disease models, gene/target models, and graph-based reasoning over heterogeneous biomedical evidence, including genetic associations, clinical outcomes, literature, omics data, assay data, and real-world data. * A demonstrated bias toward urgency and tight iteration: a track record of converging on working artifacts in days, iterating directly with scientific stakeholders, and pivoting decisively based on scientific feedback. * Sound engineering judgment regarding when to reuse existing platform components, when to extend them, when to maintain a prototype, and when to transition a capability to platform engineering for productionization. * Excellent written and verbal communication skills and a demonstrated ability to align scientific, technical, and executive audiences around practical AI opportunities and evaluation results. If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Remote - United States - US: $128,890 - $156,179 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. 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. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. 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 you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1602118 : Senior Scientific Data Engineer