Senior Research AI Scientist

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 aSenior Research AI Scientistto 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

• Partnerwith discovery, translational, clinical, computational, and portfolio scientiststo identify high-value research opportunities for AI and translate them into AI-tractable specifications with measurable scientific success criteria.

• Architect, build, and operationalizeagentic and multi-agent workflows forcomplex 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 methodologiesfor 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 urgencyand 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 currentwith 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 withmodern 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 rigorousevaluation 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 onescientific 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 judgmentregarding 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:

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 visithttps://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 ye...