Join a dynamic and interdisciplinary team pushing the frontiers of biomedical and health AI under the leadership of Senior Investigator Dr. Zhiyong Lu in the Division of Intramural Research (DIR) at the National Library of Medicine (NLM). The fellow will work closely with Dr. Qiao Jin in the Lu lab on his recently awarded K99/R00 project “Improving Medical Information Verifiability with Trustworthy Artificial Intelligence.”
The NLM is one of the 27 institutes at the National Institutes of Health (NIH). The NLM is the world’s largest biomedical library and a leader in research, development, and training in biomedical informatics and health information technology. The DIR within the NLM has two primary research areas: computational health research and computational biology. In computational health research, our efforts center on natural language processing (NLP), clinical image analysis, biomedical ontologies, information modeling, and clinical data analytics. In computational biology, we emphasize transcriptional regulation, chromatin and network biology, structural and functional analysis, sequence statistics, and evolutionary genomics. Information about the Lu lab: https://www.ncbi.nlm.nih.gov/research/bionlp/ .
Specific areas of interest for this role include:
- Evaluating the medical knowledge and reasoning capabilities of AI models
- Building high-quality medical evidence databases with AI agents
- Training foundational models for biomedical verification and fact-checking
- Developing deep research agents for answering biomedical questions
- Applying large language models to various medical applications
Position Overview: This is a full-time postdoctoral fellow position. The initial appointment will be for one year and is renewable on a yearly basis based on performance, with extensions up to 5 years total. The NIH offers a competitive salary (based on postdoctoral experience, see stipend tables: https://www.training.nih.gov/stipends/ ) and comprehensive health insurance. The NIH is dedicated to the continued education and career development of all its research staff. Candidates are subject to a background investigation. Additional information about NIH postdoctoral fellowships: https://www.training.nih.gov/research-training/pd/
