The Executive Director will serve as thecentral connective nodefor Medical across the BMS enterprise RWE ecosystem linking Medical study teams to the full landscape of internal and external data assets, technology platforms, AI capabilities, and cross-functional partners. A core priority is working with the Data Analytics and HEOR teams to identifying and integrating the growing portfolio of available therapeutic area-level data sources including EMR/EHR, claims, registries, specialty datasets, and partner platforms and making those assets practically accessible and scientifically deployable for the MEG, MAP & RWE and Global Medical teams.
Specifically, the role sits at theintersection of four organizational communities:
MEG study teamswho need scientific guidance, methods support, and database expertise to design and execute high-quality NIS and RWD-integrated studies
Data Analytics & IT / BI&Twho own the data infrastructure, platforms, and tooling that enable RWD acquisition, access, and analysis
External RWD ecosystemincluding database vendors, academic partners, and epidemiological networks that the RWDIC will curate and broker access to
Cross Functional Partners including WWTA, HEOR, Clinical Development, Market Access and Commercial teams.
This role is fundamentally acapability-building, connectivity, and enterprise enablement rolenot a study execution role. The Executive Director will not own or run RWE studies directly; instead, they will ensure that BMS Medical has the infrastructure, data access, scientific methods, and organizational fluency to generate real-world evidence with speed, rigor, and competitive advantage.
Build & Lead the RWD Innovation Center
Establish this capability within Medical - defining the RWDIC mission, governance model, KPIs, and operating model from the ground up, as an enterprise-level function new to the Medical organization at BMS.
Set the strategic vision for how BMS Medical engages with the evolving RWD ecosystem, including new data partnership models, AI-integrated workflows, and enterprise data infrastructure.
Serve as theenterprise authority on RWD strategy, data connectivity, and scientific standard acting as a senior resource for Medical leadership and cross-functional partners.
End-to-End Data RWE CapabilityBuild an end-to-end capability which enables Global Medical to lead in the space of RWE generation and publication to meet the needs of HCPs and patients
Own the end-to-end data connectivity architecture for Global Medical: mapping, accessing, and mobilizing the full landscape of internal and external data sources available across BMS therapeutic areas.
Identify, evaluate, and build an enterprise RWD data landcapeby TA including EMR/EHR systems, claims databases, specialty registries and global sources, ensuring teams know what exists, how to access it, and how to deploy it for their evidence questions.
Serve as theorganizational bridge between MEG teams and the Unified Data Layer, ensuring that the data infrastructure investments made in BI&T and Data Analytics are translated into practical, scientific utility for Medical.
Drive a culture of continuous innovation to stay ahead of emerging data sources, design paradigms, AI-enabled approaches, and digital tools, and translating them rapidly into practical team capability.
Enterprise Cross-Functional Connectivity & Integration
Serve asMedical's senior liaisonto the enterprise RWE ecosystem, actively connecting and aligning with WWTA, HEOR, Clinical Development, Market Access, Commercial, BI&T/Data Analytics to ensure that Medical's RWD capability is integrated within, and benefits from, the broader enterprise infrastructure.
Represent Medical's RWD priorities in enterprise technology roadmaps, data governance forums, and AI platform investment decisions, ensuring MEG's scientific requirements shape platform design.
Identify and activatedata sources and evidence assets that already exist across BMS TAs, working with BI&T/Data Analytics, HEOR and WWTA to inventory available data, surface reuse opportunities, and prevent duplication of investment.
Build and steward enterprise-level partnerships with leading RWD data vendors, academic partners, and epidemiological networks
Connect Medical's evidence generation activities to the enterpriseAI and LLM capabilities, ensuring MEG teams are positioned to leverage AI throughout the study lifecycle.
Scientific Expertise: NIS, Epidemiology & Advanced Study Designs
Institutionalize RWD as thestandard first step in study planning, ensuring teams interrogate available databases for feasibility, patient population sizing, treatment patterns, and outcome rates before committing to trial infrastructure.
Build and maintain the RWDIC knowledge base across the full spectrum of advanced RWD-integrated designs:
RWD-informed trials: informing endpoint selection, eligibility criteria, sample size, and increasing probability of technical success
External Control Arms: patient matching, propensity methods, eligibility alignment, and regulatory considerations
Hybrid designs: integrating RWD with primary data collection, including harmonization and documentation standards
Serve as the internal advisor when teams are considering non-traditional designs pressure-testing feasibility and scientific credibility before resources are committed.
Organizational Capability Building & Training
Design and deliver an enterpriseRWD training curriculumcovering database literacy, advanced study designs (ECAs, hybrid, RWD-supplemented trials), AI/digital approaches, and data acquisition pathways targeted at MEG & MAP study teams.
Lead aRWD Community of Practiceand maintain a living knowledge management system playbooks, database landscape summaries, design guidance, and acquisition process maps under the RWDIC banner.
Build organizational confidence and fluency in RWD within Medical, creating a culture where teams proactively engage available data assets and move with speed and scientific rigor.
Degree in Epidemiology, Biostatistics, Health Sciences, or related RWE field (advanced degree PhD or equivalent preferred)
10+ years of progressive experience in real-world evidence, epidemiology, or health data science in a pharmaceutical, biotech, or clinical setting
Deep expertise in RWD database ecosystems including claims, EMR/EHR, registries, and global specialty sources with proven experience building or managing TA or enterprise-level data access programs
Track record of building new functions, teams, or capabilities in large, complex organizations
Experience with AI and digital analytics tools applied to RWE workflows
Strong executive presence and communication skills able to represent Medical's data and evidence priorities at the enterprise and leadership level
Locations: Princeton, NJ (preferred); Madison (Giralda Farms), NJ; Uxbridge, UK; Warsaw, Poland; Boudry, Switzerland
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If you come across a role that intrigues you but doesnt perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
$254,530 - $308,434
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employees work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
0Work-life benefits include:
Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
On-site Protocol
