Not specified (assumed hybrid/remote based on industry trends)
Phd in computer vision & ai
Self-supervised learning experience
Whole slide image (wsi) dataset expertise
AstraZeneca is seeking an Associate Principal Scientist specializing in AI-pathology to enhance drug development through advanced computational pathology and AI technologies. The role involves working with multimodal digital pathology datasets, leveraging machine learning for drug safety predictions, and collaborating with cross-functional teams
Job Summary
The role focuses on applying cutting-edge AI technologies to multimodal digital pathology datasets to accelerate drug development processes.
Candidates will build and evaluate multi-resolution architectures that integrate tile and slide-level context across various magnifications for robust feature learning.
The position requires close collaboration with pathologists and safety scientists to drive interpretability reviews and support milestone decision-making.
Matching Summary
Match Score: 85
AstraZeneca is seeking an Associate Principal Scientist specializing in AI-pathology to enhance drug development through advanced computational pathology and AI technologies. The role involves working with multimodal digital pathology datasets, leveraging machine learning for drug safety predictions, and collaborating with cross-functional teams.
Skills & Requirements
Must-have
PhD in Computer Vision & AI
Self-supervised learning experience
Whole Slide Image (WSI) dataset expertise
PyTorch deep learning framework
Multi-instance learning implementation
Nice-to-have
Omics and Cell Painting data experience
Cloud computing workflow automation
Strong cross-functional collaboration skills
Interpretability review capabilities
Key Requirements
PhD in Computer Vision & AI
Proven delivery of computational pathology model impact