Senior Research AI Scientist AI

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

When you join BMS, you are joining a 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.

Sr Research AI Scientist

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 scientific, computational, or AI-related field and 7+ years of academic / industry experience
• Or Master's Degree in scientific, computational, or AI-related field and 5+ years of academic / industry experience
• Or PhD scientific, computational, or AI-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.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Remote - United States - US: $128,890 - $156,179

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at

Supporting People with Disabilities

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  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:

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

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  .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

R1603113 : Senior Research AI Scientist AI