Director of Data Science
- A portfolio delivery team focused on applying computational and bioinformatics approaches to internal and external discovery efforts
- A platform development team responsible for building scalable infrastructure, computational tools, and ML/AI-driven capabilities to support ongoing and future research
- Provide strategic direction for data science initiatives, ensuring alignment with company research goals and priorities across all stages of drug discovery, from target ID and validation to translational studies
- Work closely with internal and external discovery teams, bioplatforms, and external partners to support research and translational objectives, balance immediate project needs with long-term platform development, and optimize resource allocation and execution
- Directly manage a small team delivering project-driven analyses across multiple therapeutic areas, and a Platforms lead responsible for delivering scalable, reusable computational tools and data infrastructure
- Foster a collaborative, high-accountability culture that encourages scientific rigor, innovation, and cross-functional engagement
- Drive recruitment, mentorship, and career development within the data science team
- Champion best practices in reproducible research, data governance, and AI/ML model deployment
- Stay current on emerging AI/ML approaches, including structural biology (e.g., AlphaFold-style models), multimodal analytics (e.g., integration of omics, imaging, text), and digital pathology image analysis
- Ensure that ML/AI innovations are effectively translated into research impact, working closely with experimental biologists and therapeutic area leads
- Guide the application of bioinformatics and statistical methods to functional genomic screens (e.g., CRISPR, RNAi, perturbational assays), as well as scalable computational approaches to target and biomarker discovery and validation
- Ph.D. (or equivalent experience) in Bioinformatics, Computational Biology, Machine Learning, or a related field
- 10+ years of experience in computational biology, bioinformatics, or AI/ML with at least 5 years in biotech or pharma industry
- Broad technical fluency across omics, imaging, AI/ML, and statistical modeling approaches
- Expertise in analyzing high-throughput functional genomic screens (e.g., CRISPR, RNAi, Perturb-seq)
- Strong knowledge of AI/ML applications in structural biology, multimodal data integration, and/or imaging
- Demonstrated experience building and leading high-performing data science teams, including direct people management and developing other leaders
- Ability to balance competing priorities across platform development and project execution
- Experience working in drug discovery, target identification, or precision medicine
- Track record of successful collaboration with wet-lab scientists and research leadership
- Familiarity with cloud-based computational infrastructure (AWS, GCP) and scalable bioinformatics workflows
- Be part of a motivated, dynamic team supporting cutting edge drug discovery
- Constant opportunities to learn, grow, and explore the many opportunities for data science to have impact on drug discovery and development
- State of the art offices at The Westworks, White City London
- Competitive reward package including private medical insurance, bonus, pension, and much more!
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