[Hiring] Principal Research AI Innovation Lead @Bristol Myers Squibb

Role Description

We are seeking a Principal Research AI Innovation Lead to design, prototype, and scale AI-enabled capabilities that accelerate scientific research. This role will work across Research, AI, data, product, engineering, and enterprise technology teams to identify high-value opportunities, build practical LLM-enabled solutions, evaluate scientific quality, and create reusable capability patterns that improve how research teams use AI.

The ideal candidate combines hands-on AI product and prototyping experience with working fluency in drug discovery, translational science, or a related research domain. They can assess whether an AI output is scientifically sound, appropriately grounded, and useful for real research decisions - not merely technically complete. They are comfortable engaging with scientists on topics such as:

• Target evidence
• Indication selection
• Biomarker interpretation
• Translational rationale
• Clinical evidence

They are equally comfortable partnering with AI engineers to turn those needs into scalable systems. This role’s impact is measured by scientific outcomes:

• Faster and better-evidenced research decisions
• Higher-quality AI-assisted workflows
• Reusable capabilities that compound across programs

Qualifications

• Bachelor's Degree with 8+ years of academic/industry experience
• Or Master's Degree with 6+ years of academic/industry experience
• Or PhD with 4+ years of academic/industry experience

Requirements

• Advanced degree, such as MS, PhD, PharmD, or equivalent experience in a scientific, computational, or AI-related field
• Direct experience in one or more research areas such as:
• Target identification and evaluation
• Indication expansion
• Drug repurposing
• Biomarker discovery
• Translational research
• Clinical evidence review
• Portfolio decision support
• Ability to interpret scientific evidence, assess analytical quality, and evaluate whether AI-generated scientific outputs are grounded, appropriately caveated, and defensible
• Substantive hands-on architectural depth in modern AI and large language model methods
• Experience building AI systems that reason across heterogeneous scientific evidence
• 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 working in innovation-lab, accelerator, startup, skunkworks, or rapid-prototyping environments

Benefits

• Comprehensive benefit plans including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability)
• Flexible Time Off (FTO) for U.S.-based exempt employees, along with 11 paid company holidays each year
• 160 hours of paid vacation annually for new hires (subject to manager approval) for non-exempt employees
• Access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, and leaves of absence for various needs
• Annual Global Shutdown between Christmas Day and New Year's Day for eligible employees