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Postdoctoral Research Associate

Job in Chapel Hill, Orange County, North Carolina, 27517, USA
Listing for: AAAI Press
Full Time position
Listed on 2026-01-01
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below

Overview

Vacancy : PDS
004700

Position Summary/

Description:

Dr. Jun Li's lab ((Use the "Apply for this Job" box below).) at the University of North Carolina at Chapel Hill is recruiting postdoctoral researchers to join his interdisciplinary team. The lab focuses on integrative cancer omics, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI-powered analytical platforms to support patient-centered biomedical research.

Current projects involve building computational frameworks for multi-omics integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed articles with more than 53,000 citations (H-index: 56), including first-author papers in Cancer Cell, Nature Cancer, Nature Methods, Nature Communications, and Science Advances, reflecting the lab's strong track record in high-impact cancer research.

This position offers a dynamic and collaborative environment with ample opportunities for high-impact research, technical innovation, and professional growth.

Qualifications
  • Solid understanding of cancer biology and omics technologies (e.g., genomics, proteomics, and/or metabolomics).
  • Strong publication record in relevant fields.
  • Proven ability to develop bioinformatics tools or AI/ML models.
  • Experience in integrating multi-omics data from tumors and preclinical models.
  • Familiarity with training or fine-tuning large-scale models (e.g., LLMs, foundation models, etc.).
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Position Requirements
10+ Years work experience
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