Principal Research Lead – AI Innovation

🕒 Julho 31

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $145.020 - $175.728 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Bristol Myers Squibb

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1887

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A Bristol Myers Squibb é uma empresa biofarmacêutica global dedicada a descobrir, desenvolver e oferecer medicamentos inovadores que ajudam os pacientes a superar doenças graves. Suas áreas de foco incluem saúde cardiovascular, terapia celular, imunologia e oncologia. Com um compromisso de transformar os resultados dos pacientes por meio de ciência pioneira, a Bristol Myers Squibb faz parcerias com uma rede mundial de pesquisadores, provedores de saúde e outras partes interessadas. Eles visam liderar a inovação para os pacientes enquanto promovem a diversidade e inclusão em sua força de trabalho.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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