Bristolmyerssquibb

Principal Research AI Innovation Lead

Remote - United States - US · Principal · Part-time

Sponsorship not specified$145k-$176kDetected 11 hours ago

Machine LearningDeep LearningNLPLLMsAI OrchestrationClinical TrialsResearchCollaborationEpidemiology

About the role

Partner with scientists and research leaders to identify high-impact opportunities where AI can improve research speed, quality, consistency, traceability, and decision-making.
Help shape multi-year GenAI strategies, lead workstreams, and establish reusable building blocks - agentic frameworks, evaluation harnesses, retrieval and grounding components, tool servers, prompt and policy libraries, and provenance infrastructure - on which research programs build.
Design mechanisms for incorporating expert feedback, scientific rationale, provenance, and research context into AI workflows so that systems and institutional knowledge improve over time.
Collaborate with engineering, data, IT, security, legal, vendor, and platform teams to ensure prototypes are designed with appropriate governance, integration paths, and scalability in mind.
Stay current with emerging AI methods, tools, vendors, and industry practices, and assess where they can create practical value for Research.
Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible.

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
When you join BMS, you are joining a high-achieving team united by a common mission.
The ideal candidate combines hands-on AI product and prototyping experience with working fluency in drug discovery, translational science, or a related research domain.
BMS has an occupancy structure that determines where an employee is required to conduct their work.

Advanced degree, such as MS, PhD, PharmD, or equivalent experience in a scientific, computational, or AI-related field.
Ability to interpret scientific evidence, assess analytical quality, and evaluate whether AI-generated scientific outputs are grounded, appropriately caveated, and defensible.
Experience designing AI evaluation frameworks, benchmark datasets, human-reviewed reference standards, rubric-based assessments, or scientific quality metrics.
Experience working in innovation-lab, accelerator, startup, skunkworks, or rapid-prototyping environments.
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.

Communicate AI opportunities, risks, limitations, evidence quality, and results clearly to scientific, technical, and executive audiences.

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.

Medical, pharmacy, dental, and vision care.
Work-life benefits include:
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.

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.

This listing is sourced directly from Bristolmyerssquibb's careers page and normalized into a canonical job model.