Computational Biology/Data Science Postdoc

Posting InformationPosting DetailsDepartment Lineberger Compr Cancer Center - 426801Posting Open Date 05/05/2026Application DeadlineOpen Until Filled NoPosition Type Postdoctoral ScholarPosition Title Computational Biology/Data Science PostdocVacancy ID PDS004850Full-time/Part-time Full-Time TemporaryHours per week 40FTE 1Work Location Chapel Hill, NCPosition Location North Carolina, USHiring Range $80,000-$90,000Proposed Start Date 06/01/2026Estimated Duration of Appointment 12 MonthsPosition InformationBe 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 UnitOur 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 SummaryPosition OverviewThe 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 hypothesesResponsibilities 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 applicationsMinimum Education And Experience Requirements PhD in computational biology, bioinformatics, genomics, computer science, or a related fieldRequired 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 environmentPreferred 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 preprintsSpecial Physical/Mental RequirementsSpecial InstructionsFor information on UNC Postdoctoral Benefits and Services click hereQuick Link https://unc.peopleadmin.com/postings/317750Posting Contact InformationDepartment Contact Name and Title Rhiannon M. Groves, HR ConsultantDepartment Contact Telephone or Email rhiannon_groves@med.unc.eduPostdoctoral Affairs Contact InformationIf 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 StatementThe 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.