This role sits within the Scientific Data and Publications function in GSK’s Research & Development (R&D) division. Access to external scientific information (published literature, patent and competitive intelligence, chemistry and biology databases, and commercial data sources) is foundational to GSK’s ability to discover and develop transformative medicines. Ensuring R&D has the right content, at the right cost, with the right governance, directly accelerates scientific decision-making. The Associate Director (Scientific Data and Publications) is a key role within the Research Operations & Externalization (ROX) organisation, accountable for maintaining GSK R&D’s enterprise portfolio of external scientific content and data licenses. This position manages the portfolio, including its budget, forecasting and cost controls, and for retiring under-used sources so the portfolio stays focused on the content that delivers value for GSK. This position also manages vendor relationships and commercial terms to ensure licensed content is accessible, supported, compliantly used, and demonstrably delivers return on investment for the scientists who depend on it. The role works closely with the associated Director to shape strategic direction, serving as a strategic advisor and thought-partner to contribute recommendations and expert perspective. You will serve as a key connector across scientific, procurement, legal, copyright, digital and technology functions, and as the senior interface to major information providers. You will maintain the governance, controls and user guidance that keep GSK’s use of published information copyright-compliant. You will work closely with colleagues across the company (including licensing, copyright, information specialist and technology colleagues) to deliver service, compliance and support, as well as contribute to the future-state operating model for scientific publications and external data. You will also position the portfolio to be exploited by rapidly evolving AI and text-mining capabilities, staying close to emerging AI use cases (across R&D) to anticipate future licensing needs and work with digital and technology teams and vendors to make licensed content AI-ready.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree