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Bristol Myers Squibb is seeking a Senior Manager for AI Policy and Channel in Princeton, NJ, to lead the development and deployment of machine learning solutions that enhance commercialization strategies. The role requires a blend of technical expertise in machine learning and strong business acumen, along with the ability to collaborate across various functions.
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Job Summary
The Senior Manager, Artificial Intelligence, Policy and Channel (AIPC) is a hands-on technical leader who develops, deploys, and maintains data science and machine learning pipelines, solutions, and products that drive commercialization excellence at BMS.
This role provides AI-driven insights that help BMS anticipate and respond to channel-level business trends, payer contract dynamics, legislative policy shifts, and new indication launches.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment and offers a wide variety of competitive benefits, services and programs.
Matching Summary
Match Score: 75
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Bristol Myers Squibb is seeking a Senior Manager for AI Policy and Channel in Princeton, NJ, to lead the development and deployment of machine learning solutions that enhance commercialization strategies. The role requires a blend of technical expertise in machine learning and strong business acumen, along with the ability to collaborate across various functions.
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Salary
Base: $152,150 - $184,370; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Paid Time Off
Skills & Requirements
Must-have
machine learning pipeline development
data science solutions
commercialization excellence
Python programming proficiency
stakeholder engagement
AI product lifecycle management
Nice-to-have
biopharmaceutical market access knowledge
payer contracting understanding
healthcare policy implications
NLP and Large Language Models
Key Requirements
Bachelor's degree in a quantitative field
Minimum 3 years of hands-on ML pipeline experience