Computational Biology/Data Science Postdoc

Posting Information

Posting Details

Department Lineberger Compr Cancer Center - 426801 Posting Open Date 05/05/2026 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title Computational Biology/Data Science Postdoc Vacancy ID PDS004850 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 $80,000-$90,000 Proposed Start Date 06/01/2026 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 is 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.

Primary Purpose of Organizational Unit

Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education and research.

Patient care: We promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.

Education: We prepare tomorrow`s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce.

Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research.

The lab operates at the intersection of radiation biology, immuno-oncology, and data science, with access to rich clinical trial datasets and advanced spatial profiling platforms. This position offers the opportunity to generate high-impact insights at the interface of biology and computation, with strong mentorship and collaborative opportunities across UNC.

Position Summary

Position Overview

The laboratory of Gaorav Gupta is seeking a computational biology/data science postdoctoral research associate to lead integrative analyses of multi-omic cancer datasets. The lab focuses on DNA damage responses, tumor-immune interactions, and biomarkers of response to radiation and immunotherapy, with an emphasis on breast cancer.

This position will involve analysis of genomic, transcriptomic, and spatial profiling data, including data generated from clinical trials and preclinical models.

Research Focus

• Integrative analysis of genomic, bulk RNA-seq, and single-cell transcriptomic data
• Analysis of spatial transcriptomics and multiplex imaging datasets
• Development of computational methods to identify biomarkers of therapy response
• Translation of computational findings into biologic insights and clinical hypotheses

Responsibilities

• Analyze large-scale multi-omic datasets (internal and public)
• Develop and implement computational pipelines and novel analytic approaches
• Integrate diverse data types including genomic, transcriptomic, spatial, and clinical data
• Collaborate closely with experimental scientists and clinicians
• Contribute to high-impact publications and grant applications

Minimum Education and Experience Requirements

• PhD in computational biology, bioinformatics, genomics, computer science, or a related field

Required Qualifications, Competencies, and Experience

• Demonstrated expertise in mutation and genomic analyses
• Strong programming skills such as R and Python
• Experience developing or applying computational methods
• Ability to work collaboratively in a multidisciplinary research environment

Preferred Qualifications, Competencies, and Experience

• Experience analyzing bulk and single-cell transcriptomics data
• Experience with spatial transcriptomics or imaging-based data
• Familiarity with public datasets such as The Cancer Genome Atlas and Pan-Cancer Analysis of Whole Genomes
• Experience with machine learning approaches in biomedical data
• Strong record of publications or preprints

Special Physical/Mental Requirements Special Instructions

For information on UNC Postdoctoral Benefits and Services click here

Quick Link https://unc.peopleadmin.com/postings/317750

Posting Contact Information

Department Contact Name and Title Rhiannon M. Groves, HR Consultant Department Contact Telephone or Email rhiannon_groves@med.unc.edu Postdoctoral Affairs Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.

Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.

Equal Opportunity Employer Statement

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

Optional and Required Documents

Required Documents

• Curriculum Vitae / Resume

Optional Documents

• Cover Letter
• List of References

Supplemental Questions

Required fields are indicated with an asterisk (*).

• • Do you have a PhD in computational biology, bioinformatics, genomics, computer science, or a related field?

• Yes

• No

• • Do you have demonstrated expertise in mutation and genomic analyses?

• Yes

• No

• • Do you have experience with matlab, python, unix or R? If so, please briefly describe.

(Open Ended Question)

• • Do you have experience developing or applying computational methods? Please explain

(Open Ended Question)

• • Please explain your experience with working collaboratively in a multidisciplinary research environment.

(Open Ended Question)

• Do you have experience analyzing bulk and single-cell transcriptomics data?

• Yes

• No

• Do you have experience with spatial transcriptomics or imaging-based data?

• Yes

• No

• Do you have familiarity with public datasets such as The Cancer Genome Atlas and Pan-Cancer Analysis of Whole Genomes?

• Yes

• No

• Do you have experience with machine learning approaches in biomedical data?

• Yes

• No

• Do you have a record of at least three first-authored research publications or preprints?

• Yes

• No