Associate Principal Scientist, Ai For Chemical Toxicology
AstraZeneca
Not specified (assumed hybrid or onsite based on the nature of the role).
Phd in chemoinformatics or bioinformatics
Strong ai/ml experience with pytorch tensorflow
Advanced python or r programming skills
AstraZeneca is seeking an Associate Principal Scientist for their Predictive AI and Data team to lead predictive safety modeling efforts in drug development using chemoinformatics, bioinformatics, and AI/ML. The ideal candidate will have a PhD in a relevant field, strong experience in AI/ML, and proven leadership capabilities, along with excellent communication skills
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 techniques.
This fully hands-on computational role requires scientific leadership to drive innovation and influence program strategy across AstraZeneca's R&D.
Matching Summary
Match Score: 85
AstraZeneca is seeking an Associate Principal Scientist for their Predictive AI and Data team to lead predictive safety modeling efforts in drug development using chemoinformatics, bioinformatics, and AI/ML. The ideal candidate will have a PhD in a relevant field, strong experience in AI/ML, and proven leadership capabilities, along with excellent communication skills.
Skills & Requirements
Must-have
PhD in Chemoinformatics or Bioinformatics
Strong AI/ML experience with PyTorch TensorFlow
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
Excellent communication and stakeholder engagement skills