Independently design, develop, optimize, and validate advanced machine learning, deep learning, and computer vision approaches for digital pathology, including cell and tissue segmentation, classification, feature extraction, and representation learning, to identify and quantify histopathologic features, cellular phenotypes, and spatial relationships. The candidate will also develop robust computational workflows for high-dimensional image-based spatial protein datasets, including approaches to identify and quantify cell populations, characterize cellular phenotypes, and analyze spatial relationships and tissue organization.