Postdoc: AI, LLMs & Multimodal Biomedical Research

Purdue University Institute of CHIPS and AI; West Lafayette (IN); On-site; USD 60,000 - 85,000; Full time

Job summary

Purdue University Institute of CHIPS and AI invites applications for a Postdoctoral Research Associate position, co-hired across Purdue University and Indiana University. The fellow will develop and apply advanced AI methods for biomedical discovery, clinical research, and precision health in a highly collaborative environment.

The role emphasizes leadership in AI at the intersection of LLMs, multimodal data, foundation models, and agentic AI, with opportunities for research leadership and grant

Qualifications

• Ph.D. or equivalent in computer science, artificial intelligence, biomedical informatics, health data science, or related fields.
• Strong experience with LLMs, generative AI, and multimodal health data.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Lead and contribute to independent and collaborative AI research projects.
• Develop and evaluate LLMs, multimodal AI models, biomedical foundation models, and agentic AI systems.
• Integrate and analyze large-scale multimodal biomedical datasets, including EHRs, clinical text, imaging, omics, and other real-world health data.
• Design pretraining, fine-tuning, instruction-tuning, RAG, multimodal learning, and AI-agent development pipelines.
• Develop AI-enabled methods for clinical phenotyping, prediction, knowledge discovery, precision therapeutics, and intelligent research automation.
• Lead manuscript preparation and contributing to grant proposals, open-source tools, and scientific dissemination.
• Collaborate with multidisciplinary teams across clinical, biomedical, informatics, and AI research.

Skills

LLMs

Generative AI

Agentic AI

Multimodal learning

NLP

Deep learning

Self-supervised learning

Representation learning

Biomedical AI

Python

PyTorch

TensorFlow

Education

Ph.D. in related field

Tools

PyTorch

TensorFlow

Job description

Purdue University Institute of CHIPS and AI invites applications for a Postdoctoral Research Associate position, co-hired across Purdue University and Indiana University. The fellow will develop and apply advanced AI methods for biomedical discovery, clinical research, and precision health in a highly collaborative environment.

The role emphasizes leadership in AI at the intersection of LLMs, multimodal data, foundation models, and agentic AI, with opportunities for research leadership and grant