Lead Health Data Scientist

Lead Data Science Biomedical AI Location: London (Hybrid, 4 days on-site)
Compensation: Im working with a pioneering company at the cutting edge of AI-driven biomedical research , looking for a Lead Data Scientist to guide a world-class team applying machine learning to complex life sciences data.

This is a senior leadership role where youll define the data science vision and strategy across multiple programmes in areas like drug discovery, biomarker research, and health data analysis. The company is combining advanced AI with biological insight to accelerate discovery and improve patient outcomes on a global scale.

Set and deliver the data science strategy across biomedical and life sciences projects
Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and bioinformaticians
Design scalable pipelines and deploy ML models across genomic, proteomic, imaging, and clinical datasets
Ensure high standards of scientific rigor, validation, and reproducibility
Work closely with biologists, clinicians, and commercial partners to identify and develop impactful AI applications
Represent the company externally at leading AI and scientific conferences, building its profile within biomedical AI

Strong academic background in a relevant field such as Computer Science, Computational Biology, Bioinformatics, or Data Science (PhD preferred)
Proven track record leading data science teams in life sciences or biomedical research
Deep understanding of machine learning techniques and their application to biological data
Strong technical expertise in Python and modern ML frameworks
Excellent leadership, communication, and collaboration skills across scientific and technical disciplines

Lead at the forefront of AI and biomedical innovation
Shape how data science and machine learning drive discovery and patient outcomes
Hybrid setup with 4 days a week in their London HQ to support close collaboration and rapid progress

If youre a data science leader with deep expertise in biology or biomedicine and a passion for applying AI to real scientific challenges, this is a rare opportunity to make a lasting impact on the future of biomedical discovery.