Job Information
University of North Carolina- Chapel Hill Post-Doc Research Associate in NC-Chapel-Hill, United States
Vacancy ID: PDS004357
Position Summary/Description:
The BIGS2 (Biostatistics and Imaging Genomics Analysis Lab – Statistics & Signal) Lab https://www.med.unc.edu/bigs2/ is seeking a highly motivated and talented Postdoctoral Researcher specializing in knowledge graph construction and AI development. The successful candidate will collaborate closely with Dr. Hongtu Zhu (Department of Biostatistics) and Dr. Tengfei Li (Department of Radiology) on innovative projects related to Alzheimer’s Disease (AD).
The primary responsibility of this role is to synthesize and integrate a vast array of data sources, including imaging, genetic, and clinical data from real-world datasets, alongside extensive literature and other resources. The candidate will be crucial in developing and applying specialized knowledge graphs such as Alzheimer’s Disease-related Knowledge Graphs (AD-KG), Omics Knowledge Graphs ( OKG ), Neuroimaging Knowledge Graphs ( NKG ), and Neuroimaging Omics Knowledge Graphs ( NOKG ).
A significant part of this role involves the clinical translation of these knowledge graphs to ensure the research findings can be directly applied to improve patient outcomes. This will include the embedding of these knowledge graphs to facilitate the extraction of actionable insights and enable advanced analyses that can lead directly to enhanced clinical practices and therapies.
The successful candidate will also develop and refine large language models (LLMs) that enhance our understanding of complex datasets, with a focus on implementing KG embedding techniques and performing downstream analysis to measure their impact on predictive accuracy and clinical decision-making.
Furthermore, the role involves designing sophisticated artificial intelligence (AI) agents aimed at advancing analytics in clinical settings and improving decision-making processes in healthcare. This position offers the opportunity to work at the cutting edge of AI, data integration, and knowledge graph technologies, contributing significantly to advancements in medical research and directly influencing the evolution of clinical practices and patient care.
For more information about our lab and ongoing projects, please visit https://bigkp.org/ and https://www.med.unc.edu/bigs2/
Education and Experience:
Familiarity with knowledge graph construction, natural language processing, or information retrieval.
Experience in developing and deploying machine learning models, particularly in the context of biomedical or clinical research. Knowledge of advanced AI frameworks such as TensorFlow, PyTorch, or similar.
Experience in working with human imaging data (e.g., MRI , fMRI) or genetic data.
Publication record in peer-reviewed journals and conferences.