Sr. Manager, Field Medical Analytics- CASA
Bristol Myers Squibb
5 days ago
On-site
Lawrence, NJ
Operations
Summary:
Sr. Manager, Field Medical Analytics is the primary analytics partner and strategic advisor for senior medical affairs stakeholders across Oncology and Hematology. Accountable for driving complex analytics initiatives, leading a dedicated team, and partnering cross-functionally to deliver actionable insights supporting Field Medical’s strategic priorities (CASA organization).
Responsibilities:
- Develop Field Medical Analytics strategy; translate data/insights into business solutions.
- Design and execute analytics initiatives across go-to-market strategy, field execution, and medical impact measurement.
- Serve as primary analytics partner/advisor to senior Field Medical/Medical Affairs stakeholders.
- Address novel analytics challenges globally/nationally.
- Collaborate cross-functionally (Medical Analytics, Commercialization Analytics, Medical Excellence, Strategy & Operations).
- Apply statistical modeling, machine learning, and advanced analytics to deliver intelligence on trends, risks, and opportunities.
- Build performance measurement frameworks to improve field medical engagement and optimize go-to-market.
- Champion Generative AI/predictive analytics for MSL targeting, HCP engagement quality, and insight generation.
- Build/deploy AI-powered HCP segmentation/targeting (real-world data, claims, behavioral signals).
- Use NLP/Generative AI to synthesize unstructured data (literature, congress content, RWE).
- Develop AI-driven KOL/KEE identification/mapping; evaluate predictive omnichannel engagement models.
- Enable scalable AI/ML pipelines with IT/data engineering; monitor AI/analytics landscape and pilot tools.
- Lead/manage analytics teams and lead high-impact projects; build senior relationships and mentor talent.
Qualifications:
- 3+ years in business analytics/medical affairs/commercial/clinical functions or data science; track record driving stakeholder decisions (medical affairs/field medical/commercialization/RWD preferred).
- Bachelor’s in quantitative/scientific discipline (Medical Science, Pharmaceutical Sciences, Statistics, Engineering, Finance, etc.); Master’s/MBA/advanced degree preferred.
- Advanced hands-on predictive modeling and data science/AI in medical/field medical settings.
- Knowledge of Generative AI, NLP, machine learning; proven path from proof-of-concept to enterprise deployment.
- Experience a plus: field force performance analytics, targeting, segmentation.
- Strong strategic thinking, credibility/influence, relationship-building; willingness to travel; on-site location in BMS offices.
Benefits/Comp (explicit): $152,150–$184,370 (Princeton, NJ, US). Health, wellbeing, financial protection, and paid time off (per eligibility).
Application instruction (explicit): If interested but not perfectly matched, encouraged to apply anyway.
Sr. Manager, Field Medical Analytics is the primary analytics partner and strategic advisor for senior medical affairs stakeholders across Oncology and Hematology. Accountable for driving complex analytics initiatives, leading a dedicated team, and partnering cross-functionally to deliver actionable insights supporting Field Medical’s strategic priorities (CASA organization).
Responsibilities:
- Develop Field Medical Analytics strategy; translate data/insights into business solutions.
- Design and execute analytics initiatives across go-to-market strategy, field execution, and medical impact measurement.
- Serve as primary analytics partner/advisor to senior Field Medical/Medical Affairs stakeholders.
- Address novel analytics challenges globally/nationally.
- Collaborate cross-functionally (Medical Analytics, Commercialization Analytics, Medical Excellence, Strategy & Operations).
- Apply statistical modeling, machine learning, and advanced analytics to deliver intelligence on trends, risks, and opportunities.
- Build performance measurement frameworks to improve field medical engagement and optimize go-to-market.
- Champion Generative AI/predictive analytics for MSL targeting, HCP engagement quality, and insight generation.
- Build/deploy AI-powered HCP segmentation/targeting (real-world data, claims, behavioral signals).
- Use NLP/Generative AI to synthesize unstructured data (literature, congress content, RWE).
- Develop AI-driven KOL/KEE identification/mapping; evaluate predictive omnichannel engagement models.
- Enable scalable AI/ML pipelines with IT/data engineering; monitor AI/analytics landscape and pilot tools.
- Lead/manage analytics teams and lead high-impact projects; build senior relationships and mentor talent.
Qualifications:
- 3+ years in business analytics/medical affairs/commercial/clinical functions or data science; track record driving stakeholder decisions (medical affairs/field medical/commercialization/RWD preferred).
- Bachelor’s in quantitative/scientific discipline (Medical Science, Pharmaceutical Sciences, Statistics, Engineering, Finance, etc.); Master’s/MBA/advanced degree preferred.
- Advanced hands-on predictive modeling and data science/AI in medical/field medical settings.
- Knowledge of Generative AI, NLP, machine learning; proven path from proof-of-concept to enterprise deployment.
- Experience a plus: field force performance analytics, targeting, segmentation.
- Strong strategic thinking, credibility/influence, relationship-building; willingness to travel; on-site location in BMS offices.
Benefits/Comp (explicit): $152,150–$184,370 (Princeton, NJ, US). Health, wellbeing, financial protection, and paid time off (per eligibility).
Application instruction (explicit): If interested but not perfectly matched, encouraged to apply anyway.