Postdoctoral Position in Health Data Science, AI, and Data Integration

An exciting postdoctoral opportunity is available at Indiana University under the supervision of Assistant Professor Xing He. The position focuses on integrating healthcare data using large language models (LLMs) and AI-driven agents to enhance data interoperability across hospitals and registries. This role is ideal for candidates passionate about health data science, artificial intelligence, and large-scale data integration. The research will address challenges in health data interoperability, leveraging advanced AI solutions to improve the integration and utility of healthcare information. The successful candidate will join a collaborative environment at Indiana University, with connections to the Purdue University Weldon School of Biomedical Engineering and the University of Florida, as indicated by the supervisor's background. Applicants should have a PhD in biomedical engineering, computer science, medical informatics, or a related field. Experience with AI, LLMs, and healthcare data integration is highly desirable. Strong programming and data analysis skills are preferred. The position offers an opportunity to make a significant impact in the field of health data science and biomedical engineering. Funding details are not specified, but as a postdoctoral position, it is expected to include a salary or stipend. Interested candidates should contact Xing He or apply via the LinkedIn post for further instructions. No application deadline is mentioned.