Pfizer

Pfizer is seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology. The role involves benchmarking models, building AI pipelines to connect omics readouts to pathology, and identifying biomarkers for drug safety. The goal is to improve cross-species prediction of human toxicity risks from preclinical data, supporting drug development decisions. The position emphasizes scientific contributions through publications and potentially open-source tools.

Seeking a Postdoctoral Fellow to develop AI/ML enabled bioprocess models and control strategies for recombinant protein production. The role involves creating hybrid mechanistic-data driven models, integrating omics data, applying ML/DL for prediction, and exploring agentic AI for model orchestration and transfer learning. Responsibilities include designing experiments, implementing model predictive control, validating models, and communicating results.