AI Scientist – AI for Medical Imaging
Ready to make your application Please do read through the description at least once before clicking on Apply.
Duration: 6 months
Location: Hybrid (Cambridge, UK – Addenbrooke’s Hospital)
Start Date: Summer 2025
Salary: £50,000-£60,000 pro rata (based on experience)
About Us
Lyzeum Ltd is a University of Cambridge spin-out at the forefront of AI-driven medical diagnostics. Building on our recent publication in NEJM AI (https://bit.ly/nejm-ai) and coverage in national media (https://bit.ly/guardian-coeliac), we are pioneering interpretable artificial intelligence algorithms for the diagnosis of small intestinal biopsies. We are nearing clinical trial readiness, with the potential for regulatory approval and clinical deployment.
We are seeking a highly motivated AI scientist to join our team for a 6-month position. As part of the role, you will receive a visiting affiliation with the University of Cambridge and work on-site at Addenbrooke’s Hospital at least two days per week, with flexibility for hybrid working.
Role Overview
You will contribute to the development and refinement of interpretable AI algorithms focused on classification and segmentation tasks. Building on our work in coeliac disease detection, you will help expand our models models to other small intestinal conditions. With access to the world’s largest collection of digitised small intestinal biopsies, you’ll have a unique opportunity to develop and evaluate cutting-edge algorithms at scale.
Key Responsibilities
•Design and implement machine learning models for the analysis of scanned small-intestinal biopsy images
•Collaborate closely with clinical and technical teams to ensure clinical relevance and interpretability of the algorithms
•Contribute to experimental design, model evaluation, and documentation
•Co-author papers for submission to high-impact medical journals.
Essential Requirements
•Experience in developing computer vision models
•Strong proficiency in Python and PyTorch
•Ability to work independently and collaboratively in multidisciplinary teams
Desirable Qualifications
•Master’s or PhD in a related field or equivalent experience
•Experience in image classification, instance segmentation, and semantic segmentation tasks
•A track record of publications in machine learning or medical imaging conferences or journals
•Experience working with large-scale medical datasets
•Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy)
How to Apply
To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and motivation for joining Lyzeum Ltd to jobs@lyzeumltd.com. The closing date is 16 June 2025; however, applications will be reviewed on a rolling basis, so early applications are encouraged.
Lyzeum Ltd is committed to building an inclusive team. If you require any adjustments at any stage of the application process, please don't hesitate to contact us at jobs@lyzeumltd.com.