Associate Director, Medical Analytics
Bristol-Myers Squibb
- Location
- Princeton - NJ - US
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 57 approvals (FY2023)
- Posted
- Aug 18, 2026
About this role
Working with Us 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: careers.bms.com/working-with-us .
Summary
The Associate Director, Perception Analytics is an experienced pharmaceutical industry professional with deep expertise in using artificial intelligence and technology to convert large amounts of raw text data of various types and sources (including, but not limited to: post-launch field interaction notes, reactions collected at pharmaceutical symposia and congresses, social media posts, entries on industry forums, and others) into easily digestible and actionable reports for consumption by senior leaders of the Medical organization and other key areas of the enterprise. The Medical Insights Lead must be exceedingly proficient in text analytics, data visualization, artificial intelligence, and predictive methodologies in order to drive performance and support decision making across all levels of the business.
Responsibilities
Partner with Medical Analytics therapeutic area and offshore Hyderabad leads to create plans and execute analytics of raw insights surrounding product launches, major industry conferences, key data releases, and other critical events. Leverage cutting-edge artificial intelligence models and other technology to automate and standardize the ingestion and standardization of text insights, accelerating the process of generating meaningful analyses that drive strategy. Coordinate with matrix partners from Medical and Field Medical (all therapeutic areas) to understand key business questions, priorities, needs, and deliverables. Lead delivery of high-quality analytics reports in a timely manner to ensure prompt consumption and enable necessary adjustments to short- and long-term strategy. Hold regular meetings with partners to present findings, field relevant questions, and address issues as they arise. Serve as technical expert for insight analytics in Medical leadership forums, BI&A project reviews, industry symposia, and other areas. Coordinate with Medical Analytics Manager and leads on timelines and harmonization of objectives and messaging. Partner with Medical Analytics leads and matrix colleagues on reasonable expansion and integration of data sources for medical insights. Maintain close relationships with BI&T, data platform owners, and related colleagues to ensure linkages between data sources are robust, well-defined, and secure. Understand Compliance and Legal rules governing data sets for use in certain markets and business units.
Qualifications
Advanced degree in life / physical sciences (biology, chemistry, physics), applied sciences (computer science, mathematics, data science), or engineering. MA/MS minimum, PhD or equivalent preferred. Minimum 5 years of experience, including 4+ years of experience in data analytics. Management consulting experience beneficial Clinical or pharmaceutical / healthcare industry experience preferred Experience working successfully in a matrix environment, including articulating value propositions, challenging assumptions, balancing trade-offs, and managing demand. Deep understanding of how data can be used to answer critical business solutions