Data Science Manager, Oncology Diagnostics - Scotland

We are partnering with a pioneering healthtech company at the intersection of advanced diagnostics, data science, and clinical innovation. This UK-based leadership role will shape AI and machine learning strategy for early cancer detection, helping transform how we identify disease at its most treatable stage.

Responsibilities

• Lead a growing team of data scientists developing ML/AI models for real-world clinical data
• Own the end-to-end lifecycle of AI/ML projects — from data acquisition to deployment
• Collaborate with lab, regulatory, and product teams to align on technical and clinical priorities
• Champion innovation in medical AI, staying current with emerging tools, frameworks, and methodologies
• Ensure model quality and regulatory readiness in compliance with medical device standards

Qualifications

• Advanced degree or equivalent experience in computer science, bioinformatics, engineering, or related field
• Proven experience leading AI/ML projects in healthcare, life sciences, or diagnostics
• Strong background in Python and common machine learning toolchains (e.g. MLflow, PyTest, GitHub)
• Excellent communication skills for cross-functional collaboration and regulatory documentation
• Based in the UK with the ability to work in a hybrid model; experience with QMS or regulated environments (e.g. ISO13485) is a plus

This is a high-impact role in a mission-driven company where data science directly supports patient outcomes. If you're passionate about translating complex data into life-saving insights, we'd love to hear from you.