Sr. Manager, Field Medical Analytics- CASA
Job in
Princeton, Mercer County, New Jersey, 08544, USA
Listed on 2026-05-29
Listing for:
Bristol Myers Squibb
Full Time
position Listed on 2026-05-29
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:
Summary:
The Sr. Manager, Field Medical Analytics, is the primary analytics partner and strategic advisor for senior medical affairs stakeholders- across Oncology and Hematology Therapeutic Areas. This high-visibility leadership role is accountable for driving complex analytics initiatives, leading a dedicated team, and partnering cross-functionally to deliver actionable insights that support Field Medical's strategic priorities.
The incumbent will serve as BMS's recognized expert in field medical analytics, champion the adoption of AI-driven capabilities across the function, and continuously anticipate the evolving needs of internal and external stakeholders. The role is part of the Commercialization AI Strategy and Analytics (CASA) organization.
Responsibilities:
* Contribute to the development of Field Medical Analytics strategy, translating data and insights into business solutions that support both near-term execution and long-term Field Medical objectives.
* Accountable for the design and execution of analytics initiatives across go-to-market strategy, field execution, and medical impact measurement.
* Serve as the primary analytics partner and strategic advisor for senior Field Medical and Medical Affairs stakeholders across Oncology and Hematology therapeutic area specialists. Depending on interest from candidate the role could expand to include Cell Therapy over time.
* Anticipate and address complex, novel analytics challenges impacting Medical Affairs at global, national and strategic levels.
* Collaborate with cross-functional teams - including Medical Analytics, Commercialization Analytics, Medical Excellence, and Strategy & Operations - to align field medical analytics with broader BMS commercialization and medical strategies.
* Analyze and synthesize advanced data sets, applying statistical modeling, machine learning, and advanced analytical techniques to deliver strategic, actionable intelligence on emerging trends, risks, and opportunities.
* Lead the development and implementation of innovative performance measurement frameworks, continuously refining approaches to elevate field medical engagement outcomes and optimize go-to-market strategies.
* Champion the adoption of Generative AI and predictive analytics within Field Medical Analytics, identifying and scaling use cases that improve MSL targeting, HCP engagement quality, and medical insight generation.
* Build and deploy AI-powered HCP segmentation and targeting models that enable personalized scientific engagement at scale, leveraging real-world data, claims data, and behavioral signals.
* Leverage Natural Language Processing (NLP) and Generative AI to synthesize unstructured data - including scientific literature, congress content, and real-world evidence - into actionable insights for Field Medical teams.
* Develop AI-driven KOL/KEE identification and mapping capabilities to optimize Field Medical deployment and strategic prioritization across therapeutic areas.
* Evaluate and implement predictive omnichannel engagement models that anticipate HCP needs, enabling MSLs to proactively deliver relevant scientific content through the right channel at the right time.
* Partner with IT and data engineering teams to enable scalable AI/ML pipelines that deliver real-time…
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