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AstraZeneca

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Associate Principal Scientist, AI-Pathology

🗓️ Posted 2026-08-17 Beijing Yizhuang Full-time Hybrid Science Technology

Company shared salary

NA

Market rate

45,000 GBP–75,000 GBP/mo (540,000 GBP–900,000 GBP/yr)

Based on similar roles (title + domain + location).

About the Company

omputational pathology and AI technologies to multimodal digital pathology datasets and help derive biological insights from combination of multimodal model inference from pathology, o mics (transcriptomics, cell paintint and proteomics) and chemical/ADME foundation models for drug safety prediction to support drug portfolio project milestone decision making. Accountabilities Support Computational Pathology foundation model development: data preparation including stain/scan harmonization & standardization, data augmentation, rigorous QC, WSI tiling/patch extraction . Build and evaluate multi-resolution architectures (hierarchical, pyramid, or attention-based models) that integrate tile and slide-level context across 5 -40 magnifications for robust morphological feature learning . Undertake self-supervised representation learning: Train foundation models on multi- scale WSIs using scalable distributed training and modern practices tailored to histopathology . Implement, where appropriate , weak/multiple-instance learning (MIL): Implement and optimize MIL and weakly supervised strategies for downstream tasks where only slide- or case-level labels are available . Operate multi- GPU/cloud enviroments ensuring reproducibility at scale : Distributed learning across GPUs, containers, orchestration, feature stores, versioning, experiment tracking, and checkpointing. Evaluation benchmarkin

Requirements

  • ● PhD in Computer Vision & AI including computational pathology
  • ● Strong hands-on ML/DL experience ( preferably using PyTorch ).
  • ● Advanced Python programming skills.
  • ● Proven delivery of computational pathology model impact.
  • ● Excellent communication and stakeholder engagement skills.
  • ● Solves complex problems using scientific judgement.
  • ● Builds strong cross-functional relationships and networks.
  • ● Background knowledge or experience working with pathology or similar medical imaging datasets.
  • ● Date Posted 17-8月-2026
  • ● Closing Date
  • ● AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.