Lead Data Scientist

Source: WhatJobs

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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.

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.