Associate Principal Scientist, Ai For Chemical Toxicology
AstraZeneca
Not specified (assumed hybrid based on industry standards).
Phd in chemoinformatics or bioinformatics
Strong pytorch tensorflow scikit-learn experience
Advanced python or r programming skills
AstraZeneca is seeking an Associate Principal Scientist in AI for Chemical Toxicology to lead predictive safety modeling using AI and bioinformatics. The role requires a PhD and strong experience in AI/ML, along with leadership skills to influence drug development strategies
Job Summary
This role leads next-generation predictive safety modeling at scale by integrating chemical and biological data to inform risk assessment.
The successful candidate will develop, optimize, and deploy predictive safety models using cutting-edge AI approaches across pre-clinical and clinical stages.
As a scientific leader, you will drive innovation, mentor junior scientists, and collaborate with academia and technology partners to shape R&D strategy.
Matching Summary
Match Score: 85
AstraZeneca is seeking an Associate Principal Scientist in AI for Chemical Toxicology to lead predictive safety modeling using AI and bioinformatics. The role requires a PhD and strong experience in AI/ML, along with leadership skills to influence drug development strategies.
Skills & Requirements
Must-have
PhD in Chemoinformatics or Bioinformatics
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 in Chemoinformatics, Bioinformatics, Computational Toxicology or related field
Familiarity with GitHub CI/CD pipeline and MLOps practices
Acts as discipline leader and shapes scientific strategy