Associate Director, Real World Data Strategy and Partnerships

Job description

Site Name: USA – Pennsylvania – Upper Providence, UK – London – New Oxford Street
Posted Date: Sep 30 2024

The increased demand both internally and externally for high quality, robust RWE from RWD requires GSK to access and partner with the external RWD environment to ensure evidence generation is held up to the highest possible standards. The RWD Strategy team is a small team in Biostatistics, R&D tasked with realising the potential of RWD and RWE. The vision is to build an RWD ecosystem to drive expanded use, enabling better evidence generation and decision making across R&D. The team aims to be leaders in building innovative partnerships and contributing to the future evolution of high quality RWD for research.

This role, reporting to Sr Director of RWD Strategy and Partnerships, will give you the opportunity to drive forward this vision through leading efforts within the Respiratory and Immunology portfolio from Research through Development and Medical Affairs, as well as contributing to building the enterprise-wide RWD framework. The role will have the following responsibilities:

• Lead periodic reviews of data needs across the respiratory and immunology portfolio and identify changes in strategy to address evolving business needs.

• Define key RWD capability requirements to advance RWE generation within the portfolio and collaborate in a cross-functional team, including R&D Policy, Advocacy and External Engagement experts, Research Units, Biostatistics, Medical, Regulatory, Clinical, global and regional medical teams to realise enterprise vision of RWD/E.

• Ensure partnerships are optimised internally via knowledge management and cross-matrix collaboration.

• Lead RWD acquisition for key individual activities as identified by teams as part of evidence generation plans and the development of larger RWD initiatives, including: Data landscaping and assessments; recommending RWD sources for insourced and outsourced studies; identify additional RWD and capability needs.

• Assess data for its suitability for use in evidence generation with consideration for eventual study design. Conduct quantitative assessment of metadata for completeness and qualitative assessment on provenance, representativeness and reliability for research.

• Work in partnership with Real World Analytics (RWA) to ensure optimal investment in data purchases and streamlined use of data for evidence generation and rapid data queries. This will include being hands-on with data exploration, especially for newer data sources.

Promote the data driven development culture within R&D and beyond; be ambitious for driving use cases of maximising value of data and tech investments across the enterprise

Basic Requirements

• Advanced degree (MSc) or higher in Public Health, Epidemiology, Health Informatics, Statistics, HEOR or Life Sciences

• Supplier relationship management experience at operational and strategic levels

• Experience of collaborating within a global matrix team, building consensus and encouraging diverse inputs

• Experience in research and development, preferably in respiratory, immunology or hepatology

• Significant pharmaceutical industry experience that includes deep knowledge of RWE study designs and medicine development/reimbursement processes

Preferred Experience

• Experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD)
• Solid understanding of technology requirements for ingesting and hosting external RWD.
• Experience with common data ontologies
• A good understanding of healthcare systems in multiple geographies (e.g. US, EU and Asia Pacific)
• Big-picture and visionary thinker to drive strategic vision of partnerships, with facilitation and strategy formulation experience aligned with RWE / R&D priorities.
• Understanding of the external regulatory, data governance and payer environments and suitability of RWD for research for external audiences
• Demonstrated hands on experience in real world evidence study design and/or analysis with deep understanding on how to work with real world data and assess quality and reliability