Machine Learning Scientist

Ground Truth Labs, an innovative Oxford University spinout, is revolutionizing precision medicine through advanced deep learning algorithms for image analysis. Following significant seed funding in 2023, they've rapidly grown to a 15-person team, successfully delivering projects to major pharmaceutical and biotech companies.

The Machine Learning Scientist role presents a unique opportunity to shape the future of AI in healthcare, specifically focusing on developing spatial biology biomarkers for oncology. This position combines cutting-edge machine learning research with practical applications in medical imaging, requiring expertise in deep learning, computer vision, and large-scale image analysis.

Working in a remote-first environment with regular team meetings in Oxford or London, you'll collaborate with interdisciplinary teams spanning engineering, clinical science, and product development. The role demands both technical excellence and strong communication skills, as you'll be responsible for developing interpretable algorithms that address critical clinical questions.

Key responsibilities include designing advanced deep-learning models, maintaining scalable data pipelines, and translating algorithms into medical device tools. The ideal candidate brings a PhD or equivalent experience, strong Python programming skills, and expertise in deep learning and statistical analysis. Experience in computational pathology or clinical background is highly valued.

This position offers the chance to make a significant impact in medical AI, working with a company that values concise communication, high-quality work, strategic thinking, and collaborative co-creation. The role combines the excitement of a fast-growing startup with the meaningful goal of improving patient outcomes through enhanced tissue analysis.