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/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 |
| AI Data Engineer--Computational Toxicology (Senior Associate) AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines. | Data | 5 |
| AI Data Engineer--Computational Toxicology (Senior Associate) AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines. | Data | 5 |
| Senior Scientist, Automation This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging machine learning, computer vision, and digital tools to enhance experimentation and automation goals. It involves integrating hardware, analytical devices, and implementing robotic control and data management systems, with a requirement for Python or C++ programming for AI/ML applications. | Data | 5 |
| Senior Scientist, Automation This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging technologies like computer vision and machine learning. It involves integrating automated hardware, implementing robotic control and data management systems, and using coding languages like Python or C++ for AI/ML applications. The goal is to enhance automation for laboratory experimentation and drug development workflows. | Data | 5 |