Bristol-Myers Squibb Company

Center for Observational Research & Data Sciences Lead, Data Strategy

Princeton, NJ, US
Apr 12, 2018
Required Education
Masters Degree/MBA
Position Type
Full time
The Center for Observational Research & Data Sciences (CORDS) Lead role is responsible for the development and execution of BMS' real world data strategy, including delivering a strategy that reflects BMS current data environment, prioritized assessment of data needs, ongoing monitoring of active and potential opportunities and proactive development of data sources. The role requires a thorough understanding of BMS' research priorities, mastery of clinical, genomic and numerous types of real world data resources both inside and external to BMS, a strong execution focus to deliver a robust data environment tuned to a broad set of customer needs, and excellent communication skills to establish strong links with strategic leaders across the organization. Success in this role will require a strong presence in discussions with senior leaders, constant attention to changing priorities and needs, readiness to proactively develop solutions in the market where none yet exist and a collaborative approach as this role will be embedded in matrix teams to ensure visibility and exchange of information.


Deliver BMS' real world data strategy covering existing, emerging and developmental data sources in alignment with BMS' business priorities and focused on delivery of business value and impact
  • Direct the data strategy process including leadership of matrix teams providing research priorities and expert contributors to assess and recommend data opportunities; lead data strategy working group operations supporting data assessments with functional SMEs
  • Identify external opportunities to develop data solutions to address high-priority gaps in data resources, deliver
  • Collaborate with leadership in identifying priorities and gaps and with external partners in aligning data, platform and capability opportunities with BMS needs
  • Provide BMS functions with consultative support on data strategy details, opportunities, assessments and innovations to ensure high quality, value-driven research project
  • Partner with IT to create and maintain a comprehensive inventory/catalog of current data assets and associated metadata/descriptive statistics to maximize the value of each asset to the organization
  • Assess global data and analytics environment, public and private, to ensure current views are comprehensive across geographies and engagement points
  • Partner with IT on business requirements and delivery of evolving advanced analytics ecosystem
  • Lead data acquisition governance business process and financial and FMV assessments
  • Lead data access governance process


• Masters degree in research or quantitative field required; PhD preferred • 10+ years' experience in pharmaceutical health services, outcomes, pharmaco-epidemiologic or related field; experience with clinco-genomic data a significant plus • 7+ years' experience using retrospective healthcare data sets, clinical study data and clinico-genomic data in the conduct of epidemiologic, economic and/or operational research • Ability to synthesize information from a broad matrix of functional partners into a unified strategy • Extensive experience with partner engagement in the development, licensing and application of data to a complex array of research needs and priorities • Experience with US and ex-US data collaborators and licensors • Thorough technical and scientific understanding of observational research methods • Knowledge of research applications used in the conduct of health services research including SAS, R, Python, Tableau and other applications • Strong consulting skills and proven capabilities in stakeholder engagement and matrix team leadership • Proven strong writing and oral communication skills • Awareness of the drug development and commercialization process • Understanding of data platform technologies, data quality assessment and data curation processes is preferred • Experience with HCP enterprise data environments a plus • Experience working with IT on capabilities that maximize understanding of current data assets