Analytical Scientist in Digital Pathology and Tissue-based Artificial Intelligence (ID220) in Sutton (Greater London)

Candidates must have a PhD (or equivalent) in computer science or other related quantitative subject, with demonstrable knowledge in programming and image analysis. Ideally, the successful candidates would have experience in tissue computational analysis, and in the development of new tools and pipeline for accurate image analysis and biomarker quantitation. They must be proficient with modern high-level programming languages like Python, R, Java and have experience in image processing tools and libraries (OpenCV, scikit0image, ImageJ). Experience in Deep Learning frameworks is desirable.