Data Scientist utilizing advanced analytical techniques in financial regulation at FCA. Driving innovation by uncovering insights from complex datasets and shaping future regulatory frameworks.
About the role
- 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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