Lead Data Scientist

• Set the data science strategy across multiple biomedical R&D programmes
• Lead, mentor, and grow a multidisciplinary team spanning data science, ML engineering, and bioinformatics
• Architect scalable pipelines and deploy ML models across genomic, proteomic, imaging, and clinical datasets
• Represent the organisation at top scientific and AI conferences, elevating its presence in the biomedical AI community

• Strong academic foundation in Computer Science, Bioinformatics, Computational Biology, Data Science, or related field (PhD strongly preferred)
• Proven leadership experience in data science within life sciences, biotech, pharma, or biomedical research
• Deep understanding of machine learning methods and their application to biological data
• Expert-level skills in Python and modern ML frameworks
• Exceptional communication and leadership abilities across scientific and technical teams

• Directly influence how machine learning accelerates discovery and improves patient outcomes
• Collaborate with world-class scientists, engineers, and research institutions
• Senior-level compensation (up to £150k + meaningful equity)
• Hybrid model with four days weekly in their London HQ to support close collaboration and rapid progress

If you're a data science leader with deep biomedical expertise and the ambition to push the boundaries of AI in human health, this is a rare opportunity to shape the future of biomedical discovery.