Associate Principal Scientist, Ai For Chemical Toxicology

AstraZeneca

Phd in chemoinformatics or related field
Strong pytorch tensorflow scikit-learn experience
Advanced python or r programming skills
This role leads the next-generation predictive safety modeling at scale by integrating chemical and biological data to inform risk assessment

Job Summary

  • This role leads the next-generation predictive safety modeling at scale by integrating chemical and biological data to inform risk assessment.
  • The position requires developing reproducible workflows and model validation frameworks while serving as a scientific lead for cross-functional project teams.
  • Candidates will drive innovation across R&D and mentor junior scientists to enhance team capability in computational toxicology.

Matching Summary

This role leads the next-generation predictive safety modeling at scale by integrating chemical and biological data to inform risk assessment.

Skills & Requirements

Must-have

  • PhD in Chemoinformatics or related field
  • Strong PyTorch TensorFlow scikit-learn experience
  • Advanced Python or R programming skills
  • Experience with multimodal biological chemical datasets
  • Proven leadership in delivering impactful modeling work

Nice-to-have

  • Experience with Safety Omics Cell Painting imaging data
  • Background in toxicology pharmacology or ADME
  • Experience with cloud computing or workflow automation
  • Track record of publications in top AI conferences
  • Experience supervising scientists or managing collaborations

Key Requirements

  • PhD degree required
  • Leadership experience demonstrated
  • MLOps and DevOps best practices familiarity

Work Rights

Not specified

Tailored Resume

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