Lead Data Scientist

Understanding Recruitment
City of London
4 months ago
Applications closed

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Lead Data Scientist – Biomedical AI

📍 London (Hybrid, 4 days onsite)

💰 Up to £150k + Equity

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.


What You’ll Lead

  • 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

What They’re Looking For

  • 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

Why This Role Matters

  • 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.

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