Lead Data Scientist
Job in
Newcastle upon Tyne, Newcastle, Tyne and Wear, SY7, England, UK
Listed on 2026-09-18
Listing for:
Understanding Recruitment
Full Time
position Listed on 2026-09-18
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
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.
Seniority level- Mid‑Senior level
- Full‑time
- Information Technology
- Technology, Information, Media, and Biotechnology Research
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