Executive Director, Real World Evidence Innovation Center Lead, Global Medical
Bristol Myers Squibb
June 30, 2026
Remote friendly (Princeton, NJ)
United States
Medical Affairs
Responsibilities:
- Build and lead the RWD Innovation Center (RWDIC): define mission, governance, KPIs, and operating model; set strategic vision for engagement with the evolving RWD ecosystem (data partnerships, AI-integrated workflows, enterprise data infrastructure); serve as enterprise authority on RWD strategy, data connectivity, and scientific standards.
- End-to-end data RWE capability: enable Global Medical to generate and publish RWE; own end-to-end data connectivity architecture (map/access/mobilize internal and external data sources across therapeutic areas); identify/evaluate/build enterprise RWD data landscape by TA (EMR/EHR, claims, specialty registries, global sources) so teams know what exists, how to access it, and how to deploy it for evidence questions; bridge MEG teams and the Unified Data Layer to translate infrastructure investments into practical scientific utility; drive continuous innovation (emerging data sources, design paradigms, AI-enabled approaches, digital tools).
- Enterprise cross-functional connectivity & integration: liaise with WWTA, HEOR, Clinical Development, Market Access, Commercial, BI&T/Data Analytics; represent Medical RWD priorities in technology roadmaps, governance forums, and AI platform investment decisions; identify/activate existing data sources and evidence assets; build/steward partnerships with data vendors, academic partners, epidemiological networks; connect evidence generation to enterprise AI/LLM capabilities.
- Scientific expertise (NIS/epidemiology/advanced designs): institutionalize RWD as standard first step; build/maintain RWDIC knowledge base (RWD-informed trials, external control arms, hybrid designs); advise on non-traditional designs.
- Organizational capability building & training: develop enterprise RWD training curriculum for MEG & MAP teams; lead RWD Community of Practice and maintain knowledge management system (playbooks, landscape summaries, design guidance, acquisition maps); build Medical fluency/confidence in RWD.
Qualifications:
- Degree in Epidemiology, Biostatistics, Health Sciences, or related RWE field; PhD or equivalent preferred.
- 10+ years progressive experience in real-world evidence, epidemiology, or health data science in pharma/biotech/clinical setting.
- Deep expertise in RWD database ecosystems (claims, EMR/EHR, registries, global specialty sources) with experience building/managing TA or enterprise-level data access programs.
- Track record building new functions/teams/capabilities in large complex organizations.
- Experience with AI and digital analytics tools applied to RWE workflows.
- Strong executive presence and communication skills.
Locations: Princeton, NJ (preferred); Madison (Giralda Farms), NJ; Uxbridge, UK; Warsaw, Poland; Boudry, Switzerland.
- Build and lead the RWD Innovation Center (RWDIC): define mission, governance, KPIs, and operating model; set strategic vision for engagement with the evolving RWD ecosystem (data partnerships, AI-integrated workflows, enterprise data infrastructure); serve as enterprise authority on RWD strategy, data connectivity, and scientific standards.
- End-to-end data RWE capability: enable Global Medical to generate and publish RWE; own end-to-end data connectivity architecture (map/access/mobilize internal and external data sources across therapeutic areas); identify/evaluate/build enterprise RWD data landscape by TA (EMR/EHR, claims, specialty registries, global sources) so teams know what exists, how to access it, and how to deploy it for evidence questions; bridge MEG teams and the Unified Data Layer to translate infrastructure investments into practical scientific utility; drive continuous innovation (emerging data sources, design paradigms, AI-enabled approaches, digital tools).
- Enterprise cross-functional connectivity & integration: liaise with WWTA, HEOR, Clinical Development, Market Access, Commercial, BI&T/Data Analytics; represent Medical RWD priorities in technology roadmaps, governance forums, and AI platform investment decisions; identify/activate existing data sources and evidence assets; build/steward partnerships with data vendors, academic partners, epidemiological networks; connect evidence generation to enterprise AI/LLM capabilities.
- Scientific expertise (NIS/epidemiology/advanced designs): institutionalize RWD as standard first step; build/maintain RWDIC knowledge base (RWD-informed trials, external control arms, hybrid designs); advise on non-traditional designs.
- Organizational capability building & training: develop enterprise RWD training curriculum for MEG & MAP teams; lead RWD Community of Practice and maintain knowledge management system (playbooks, landscape summaries, design guidance, acquisition maps); build Medical fluency/confidence in RWD.
Qualifications:
- Degree in Epidemiology, Biostatistics, Health Sciences, or related RWE field; PhD or equivalent preferred.
- 10+ years progressive experience in real-world evidence, epidemiology, or health data science in pharma/biotech/clinical setting.
- Deep expertise in RWD database ecosystems (claims, EMR/EHR, registries, global specialty sources) with experience building/managing TA or enterprise-level data access programs.
- Track record building new functions/teams/capabilities in large complex organizations.
- Experience with AI and digital analytics tools applied to RWE workflows.
- Strong executive presence and communication skills.
Locations: Princeton, NJ (preferred); Madison (Giralda Farms), NJ; Uxbridge, UK; Warsaw, Poland; Boudry, Switzerland.