AI Innovation Lead – Research & Translational Science

Bristol Myers Squibb

United States

Remote

USD 145,000 - 176,000

Full time

3 days ago
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Job summary

Bristol Myers Squibb is seeking a Principal Research AI Innovation Lead to design, prototype, and scale AI-enabled capabilities accelerating scientific research. You will partner with scientists and leaders to identify high-impact opportunities and build scalable, scientifically grounded AI solutions for drug discovery and translational science.

The role requires hands-on AI product prototyping, deep knowledge of GenAI strategies, and coordination across research, AI, data, product, engineering,

Qualifications

  • Bachelor's Degree with 8+ years of academic/industry experience.
  • Master's Degree with 6+ years of academic/industry experience.
  • PhD with 4+ years of academic/industry experience.
  • Advanced degree (MS/PhD/PharmD) or equivalent in a scientific/AI field.
  • Direct experience in target identification, indication expansion, drug repurposing, or related areas.
  • Hands-on architectural depth in AI and LLM methods, including agentic workflows and multi-agent orchestration.

Responsibilities

  • Identify high-impact AI opportunities with scientists and leaders.
  • Shape multi-year GenAI strategies and reusable building blocks.
  • Architect and implement agentic system-of-systems for complex scientific workflows.
  • Establish evaluation standards, benchmark datasets, and grounding metrics.
  • Collaborate with engineering, data, IT, security, legal, and vendors.
  • Communicate AI opportunities, risks, and results to diverse audiences.
  • Stay current with emerging AI methods and assess value for Research.

Skills

Hands-on AI product prototyping
GenAI strategy

Education

Bachelor's Degree
Master's Degree
PhD
Advanced degree (MS/PhD/PharmD)

Job description

Bristol Myers Squibb is seeking a Principal Research AI Innovation Lead to design, prototype, and scale AI-enabled capabilities accelerating scientific research. You will partner with scientists and leaders to identify high-impact opportunities and build scalable, scientifically grounded AI solutions for drug discovery and translational science.

The role requires hands-on AI product prototyping, deep knowledge of GenAI strategies, and coordination across research, AI, data, product, engineering,

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