Raritan, NJ (1-3 days onsite), can also be remote.
The RWE Scientist will lead the coordination and execution of RWE projects and major responsibilities include accelerating RWE analytics and addressing medical gaps within the Global Integrated Evidence Generation Plans (IEGPs). The RWE Scientist will be accountable for high- quality and timely execution of RWE solutions and support the Global RWE Senior Directors and Directors for the execution of RWE projects. A close working relationship with the various RWE teams in global and regional medical affairs and market access will also be essential. This individual will be a critical member of the Global RWE team and will interact regularly with other leaders across GCSO and the regional businesses in support of commercial RWE initiatives. This individual will report directly to the VP, GCSO Global RWE, and partner closely with other members in the Commercial Data Science group.
Responsibilities:
Provide deep technical expertise for the design and delivery of studies using real-world data (RWD).
Ensure scientifically rigorous methods are applied for addressing medical, scientific, economic and outcomes research questions.
Generate key RWE-based insights on our early pipeline assets to drive global commercial strategies and create a competitive advantage by making better business decisions derived through strategic and patient-centric RWE approaches.
Interface outside of GCSO with the regional businesses, US RWV&E, global epidemiology, R&D,
JJT, legal, HCC and others in order to develop the RWE analytical capabilities and guidelines for evidence generation and application, as well as grow the relationships and partnerships with internal data analytics experts.
Work closely with the VP of Global RWE to prioritize the execution of RWE analytics work and distribute the workload on either being conducted internally (in partnership with other teams such as JJIT or Global Epidemiology Analytics) or externally (via external vendor support).
Manage the day-to-day operations and relationships with external vendors who have been contracted to support the Global RWE team to ensure timely, accurate, and on budget completion of RWE analytics projects. Developing capabilities to improve efficiencies (tracking of analytics performed), avoid duplications and share best practices.
Work side by side with the Data Science, Precision Medicine, Digital Health and Data, Platforms and Partnerships teams on joint projects to ensure the optimal combination of RWD/E methodologies and analytics along with AI/ML and Digital solutions are being leveraged to deliver on high value use cases / problems.
In addition, the individual will help develop the strategic focus of the future Global RWE analytics, including the growth, development, and leadership of a team of Principal Scientists to support Global RWE analytics needs.
Minimum Education:
Master's or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field.
Minimum of 6-8 years of experience in biostatistics or statistical analysis within the pharmaceutical or healthcare industry.
Proficiency in statistical software such as SAS, R, or Python, with experience in analyzing large-scale real-world datasets.
Strong understanding of epidemiological study designs, statistical methodologies, and regulatory requirements for real-world evidence generation.
Demonstrated experience working with routinely collected data (claim databases, electronic medical (health) records, registries), and various structured and possibly unstructured data sources in the healthcare sector within pharmaceutical companies' settings in commercial market access, medical affairs, scientific affairs and/or R&D environment.