Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.
We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.
About the role
As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning research capability required to develop robust, clinically meaningful models for 3D medical imaging.
We are looking for a Senior Machine Learning Scientist to research, develop and specialise state-of-the‐art deep learning models for volumetric CT data. The role focuses on foundation‐model pre‐training, supervised model specialisation, segmentation, classification, regression and biomarker extraction pipelines that support clinical‐trial and real‐world evidence programmes.
This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs.
Senior Machine Learning Scientist employer: ONE NUCLEUS
The Babraham Institute is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a charity dedicated to advancing life sciences, employees benefit from a culture that prioritises professional growth and impactful research, all while being part of a community that values wellbeing and knowledge exchange. Located in a vibrant research hub, the Institute provides unique opportunities to engage with industry leaders and contribute to meaningful projects that enhance lives.
