Director of Discovery Data Sciences leading a team in computational and data science solutions for GSK's drug discovery portfolio. Focused on predictive modeling and technological innovation within R&D.
Responsibilities
Act as the primary data science partner to research line leaders within RTech.
Translate pressing scientific challenges from the pipeline into actionable computational strategies and deliver solutions.
Establish robust metrics to track the impact of predictive models on pipeline progression.
Forge a new, unified organizational structure for the combined data science groups.
Develop and execute a long-term strategic roadmap that positions this group as the predictive engine within DAPS and the broader R&D organization.
Requirements
Ph.D. in a relevant field such as Computational Chemistry/Biology, Computer Science, Bioinformatics, or a related quantitative discipline.
12+ years of experience in the pharmaceutical or biotech industry, with at least 8 years in a leadership role managing multi-disciplinary computational science teams.
Deep expertise in at least one, and broad understanding across several, of the following domains: cheminformatics, computational biology, protein design, structural biology, bioinformatics, and genomics.
A demonstrated track record of applying AI/ML to solve complex biological and chemical problems, leading to tangible project impact.
Benefits
US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
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