Currently tracking 10 active AI roles, up 14200% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$358k (avg $179k).
| Title | Stage | AI score |
|---|---|---|
| Postdoctoral Fellow – AI-Driven Multi-Omics Integration for Predictive Toxicology Seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology in drug safety research. The role involves benchmarking models, developing AI pipelines, and identifying novel biomarkers to predict human toxicity from preclinical data, with a focus on generating peer-reviewed publications and potentially open-source tools. | Post-train | 8 |
| Postdoctoral Fellow – AI-Driven Multi-Omics Integration for Predictive Toxicology 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. |
| Post-train |
| 8 |
| Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control 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. | DataAgent | 8 |
| Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control 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 for prediction, and developing model predictive control frameworks. It also includes exploring agentic AI for orchestrating model fitting and transfer learning, and designing experiments for data generation and validation. | DataAgent | 7 |