Lead Data Scientist

Lead Data Science – Biomedical AI

Location: London (Hybrid – 4 days on-site)

Compensation: Up to £150k + Equity

The Opportunity

We’re looking for a data science leader with deep expertise in biology or biomedicine to guide a world-class team applying AI to complex life sciences data.

This is a unique opportunity to define how machine learning accelerates discovery across drug development, biomarker research, and health data analysis, driving both cutting-edge science and measurable real-world impact.

You’ll operate at the crossroads of data science, biology, and engineering, turning intricate biological questions into scalable AI solutions that push the boundaries of biomedical research.

What You’ll Do

• Set and execute the data science vision across biomedical and life sciences programmes
• 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
• Maintain scientific rigor through robust validation, reproducibility, and transparent research practices
• Collaborate closely with biologists, clinicians, and commercial teams to identify high-value AI applications
• Represent the company at key AI and scientific conferences, building thought leadership in biomedical AI

Why Join

• Lead at the forefront of AI and biomedical innovation
• Shape how machine learning transforms discovery and improves patient outcomes
• Work alongside leading scientists, engineers, and research collaborators
• Senior compensation package (up to £150k) plus meaningful equity
• Hybrid model with 4 days per week in our London HQ

This is a career-defining leadership role for a biologically fluent data science expert eager to apply AI to the next generation of biomedical breakthroughs, unlocking new insights into biology, disease, and human health.