Associate Principal Scientist, Ai For Chemical Toxicology

AstraZeneca

Not specified (assumed to be hybrid based on industry norms)
Phd in chemoinformatics or bioinformatics
Strong ai/ml experience with pytorch
Advanced python or r programming skills
AstraZeneca is seeking an Associate Principal Scientist for its Predictive AI and Data team, focusing on the integration of AI and bioinformatics to enhance drug development processes. The role involves leading predictive safety modeling efforts, utilizing chemoinformatics, bioinformatics, and machine learning, while also mentoring junior scientists and fostering collaborations

Job Summary

  • The role involves leading next-generation predictive safety modeling at scale by integrating chemical and biological data to inform risk assessment.
  • Candidates will develop, optimize, and deploy predictive safety models using cutting-edge AI approaches and machine learning frameworks.
  • The position requires serving as a scientific lead to drive innovation, mentor junior scientists, and influence program strategy across AstraZeneca.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Associate Principal Scientist for its Predictive AI and Data team, focusing on the integration of AI and bioinformatics to enhance drug development processes. The role involves leading predictive safety modeling efforts, utilizing chemoinformatics, bioinformatics, and machine learning, while also mentoring junior scientists and fostering collaborations.

Skills & Requirements

Must-have

  • PhD in Chemoinformatics or Bioinformatics
  • Strong AI/ML experience with PyTorch
  • Advanced Python or R programming skills
  • Experience with multimodal biological datasets
  • Proven leadership in delivering impactful work

Nice-to-have

  • Experience with Safety Omics or Cell Painting
  • Background in toxicology or pharmacology
  • Track record of publications in top journals
  • Experience supervising scientists or managing collaborations
  • Experience with cloud computing workflows

Key Requirements

  • PhD in Chemoinformatics, Bioinformatics, or related field
  • Strong AI/ML experience with PyTorch or TensorFlow
  • Advanced Python or R programming proficiency
  • Familiarity with GitHub, CI/CD, and MLOps practices

Work Rights

Not specified

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