Principal Research Lead – AI Innovation

🕒 July 31

🇺🇸 United States – Remote

💵 $145k - $175.7k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bristol Myers Squibb

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1887

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Bristol Myers Squibb is a global biopharmaceutical company that is dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. Their areas of focus include cardiovascular health, cell therapy, immunology, and oncology. With a commitment to transforming patient outcomes through pioneering science, Bristol Myers Squibb partners with a worldwide network of researchers, healthcare providers, and other stakeholders. They aim to lead in innovation for patients while fostering diversity and inclusion within their workforce.

📋 Description

• Design, prototype, and scale AI-enabled capabilities that accelerate scientific research • Partner with scientists and research leaders to identify high-impact AI opportunities • Shape multi-year GenAI strategies and lead workstreams • Establish reusable building blocks including agentic frameworks, evaluation harnesses, retrieval and grounding components, tool servers, prompt and policy libraries, and provenance infrastructure • Architect and implement agentic systems for complex scientific workflows • Support target evidence assembly, indication rationale construction, biomarker interpretation, translational synthesis, literature and evidence triangulation, and decision support • Establish rigorous evaluation, benchmarking, reliability, and governance standards for research AI systems • Create benchmark datasets, expert-reviewed reference standards, rubric-based assessments, hallucination and grounding metrics, uncertainty calibration, longitudinal monitoring, and production regression gating • Incorporate expert feedback, scientific rationale, provenance, and research context into AI workflows • Collaborate with engineering, data, IT, security, legal, vendor, and platform teams on governance, integration, and scalability • Communicate AI opportunities, risks, limitations, evidence quality, and results to scientific, technical, and executive audiences • Monitor emerging AI methods, tools, vendors, and industry practices and assess their practical value for Research

🎯 Requirements

• Bachelor's Degree and 8+ years of academic / industry experience, or Master's Degree and 6+ years, or PhD and 4+ years • Advanced degree such as MS, PhD, PharmD, or equivalent experience in a scientific, computational, or AI-related field preferred • Direct experience in target identification and evaluation, indication expansion, drug repurposing, biomarker discovery, translational research, clinical evidence review, or portfolio decision support preferred • Ability to interpret scientific evidence and assess analytical quality • Ability to evaluate whether AI-generated scientific outputs are grounded, appropriately caveated, and defensible • Hands-on architectural depth in modern AI and large language model methods, including agentic workflows, multi-agent orchestration, long-horizon task execution, GraphRAG, Model Context Protocol (MCP) auth patterns, and deep research workflows with reasoning models • Experience building AI systems across heterogeneous scientific evidence and biomedical data sources • Experience designing AI evaluation frameworks, benchmark datasets, human-reviewed reference standards, rubric-based assessments, or scientific quality metrics • Experience developing or adapting deep learning models for biological, biomedical, or translational research applications • Experience with biology-focused large language models, multimodal generative models, protein or sequence foundation models, representation-learning models, or other domain-specific AI systems preferred • Experience in innovation-lab, accelerator, startup, skunkworks, or rapid-prototyping environments preferred • Ability to work with scientific, technical, and executive audiences • Skills and capabilities may be considered in lieu of a perfect resume match

🏖️ Benefits

• Discretionary incentive cash • Stock opportunities • Wellbeing support • Retirement and financial protection benefits • Medical, dental, vision, life and disability insurance offerings • Flexible Time Off (FTO) for U.S.-based exempt employees • 11 paid company holidays per year • 160 hours of paid vacation annually for eligible new hires • 3 optional holidays for eligible non-exempt, RayzeBio, and Puerto Rico employees • Paid sick leave, depending on eligibility • Up to two paid volunteer days per year • Summer hours flexibility • Medical, personal, parental, caregiver, bereavement, or military leaves of absence • Annual Global Shutdown between Christmas Day and New Year's Day for eligible employees • Workplace accommodations/adjustments and ongoing support