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AstraZeneca is seeking an Associate Principal Scientist in AI-pathology to leverage advanced computational and AI technologies in drug development and discovery. The role involves working with multimodal digital pathology datasets and requires expertise in machine learning, particularly with whole slide images and self-supervised learning.
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Job Summary
The role involves applying cutting-edge computational pathology and AI technologies to derive biological insights from multimodal digital pathology datasets.
Candidates will build and evaluate multi-resolution architectures that integrate tile and slide-level context across various magnifications for robust morphological feature learning.
The position requires close collaboration with pathologists and safety scientists to drive interpretability reviews and support drug portfolio milestone decision-making.
Matching Summary
Match Score: 75
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AstraZeneca is seeking an Associate Principal Scientist in AI-pathology to leverage advanced computational and AI technologies in drug development and discovery. The role involves working with multimodal digital pathology datasets and requires expertise in machine learning, particularly with whole slide images and self-supervised learning.
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Skills & Requirements
Must-have
PhD in Computer Vision and AI
Self-supervised learning and MIL training
Whole Slide Image (WSI) dataset experience
PyTorch deep learning framework proficiency
Multi-GPU distributed training environments
Nice-to-have
Experience with omics and Cell Painting data
Cloud computing and workflow automation skills
Strong cross-functional stakeholder engagement
Background in medical imaging datasets
Open science communication capabilities
Key Requirements
PhD in Computer Vision & AI
Proven delivery of computational pathology model impact