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Postdoctoral Research Associate

Job in Chapel Hill, Orange County, North Carolina, 27517, USA
Listing for: The University of North Carolina at Chapel Hill
Full Time, Part Time position
Listed on 2026-02-06
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 62000 - 65000 USD Yearly USD 62000.00 65000.00 YEAR
Job Description & How to Apply Below

Posting Information

Department School of Data Sci and Society - 397100

Posting Open Date 01/30/2026

Final date to receive applications 02/04/2026

Open Until Filled No

Position Type Postdoctoral Scholar

Position Title Postdoctoral Research Associate

Vacancy PDS
004767

Full-time/Part-time Full-Time Temporary

Hours per week 40

FTE 1

Work Location Chapel Hill, NC

Position Location North Carolina, US

Hiring Range $62,000 - $65,000, dependent on experience

Proposed Start Date 09/01/2026

Estimated Duration of Appointment 12 Months

Position Information

Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.

Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.

UNC
-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.

Position

Summary

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.

Minimum Education And Experience Requirements

A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Cancer Biology, or a related field.

Required Qualifications , Competencies, And Experience
  • Proficiency in programming (e.g., Python, R, or similar).
  • Experience with large-scale omics data analysis.
  • Excellent written and verbal communication skills.
Preferred Qualifications , Competencies, And Experience
  • Solid understanding of cancer biology and omics technology (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.,…
Position Requirements
10+ Years work experience
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