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.

If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.

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.