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Associate Principal Scientist, AI for Chemical ToxicologyAstraZeneca · Beijing Yizhuang
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AstraZeneca

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Associate Principal Scientist, AI for Chemical Toxicology

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🗓️ Posted 2026-08-17 Beijing Yizhuang Full-time Hybrid Science Technology
💰 Salary Not shared 📊 Market 40,000 GBP–65,000 GBP/mo

About the Company

dictive safety modelling at scale, applying c h emoinformatics , bioinformatics and AI/ML to deliver decision-shaping safety insights and cross-functional scientific leadership. Provide scientific leadership for predictive safety modelling, integrating chemical and biological data (e.g., Safety Omics, Cell Painting, NAMs) to inform risk assessment and progression decisions. This is a fully hands-on, computational role with cross-functional influence. Accountabilities Develop, optimise and deploy predictive safety models using chemoinformatics , bioinformatic s and ML/DL. Create reproducible workflows, data QC procedures and model validation frameworks. Integrate multimodal data: chemical descriptors, omics, imaging and NAM datasets. Serve as scientific lead for project teams and influence program strategy. Drive innovation and identify strategic modelling opportunities across R&D. Lead collaborations with academia, consortia and technology partners. Mentor junior scientists and contribute to capability building. Communicate complex modelling concepts to diverse scientific and governance audiences.

Requirements

  • ● PhD in Chemoinformatics , Bioinformatics, Computational Toxicology or related field .
  • ● Strong AI/ ML experience (PyTorch, TensorFlow, scikit-learn).
  • ● Advanced Python or R programming skills.
  • ● Familiarity with GitHub, CI/CD pipeline, and best DevOps and MLOps practices
  • ● Proven leadership in delivering impactful modelling work.
  • ● Excellent communication and stakeholder engagement skills.
  • ● Acts as discipline leader and shapes scientific strategy.
  • ● Solves complex problems using scientific judgement.
  • ● Builds strong cross-functional relationships and networks.
  • ● Coaches and mentors others, enhancing team capability.
  • ● Background in toxicology, pharmacology or ADME.
  • ● Track record of publications in top AI conferences or journals in pharmaceutical research (e.g., NeurIPS , ICML, Nature Machine Intelligence, Nature Communications, NEJM AI, etc.)
  • ● 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.