Lead Data Scientist

Lead Data Scientist – Biomedical AI

Location:

London (Hybrid, 4 days onsite)

I’m partnering with a breakthrough company operating at the frontier of AI-driven biomedical research to hire a Lead Data Scientist
. You’ll guide a high‑performing team applying advanced machine learning to some of the most complex challenges in life sciences— From drug discovery to biomarker identification and large‑scale health data analysis.

• 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

• Lead at the intersection of AI, biology, and real‑world medical innovation
• 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.

• Mid‑Senior level

• Full‑time

• Information Technology
• Technology, Information, Media, and Biotechnology Research