"Assistant Professor, Department of Bioinformatics and Genomics"

The Department of Bioinformatics and Genomics, College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a tenure-track Assistant Professor position beginning Fall 2026. Applicants for this position must hold a Ph.D. in the computational, biological, or related sciences. They should demonstrate excellence in research via a strong publication record, the potential to secure funding, and a commitment to education. The successful candidate will be expected to develop and maintain an externally-funded research program involving Ph.D., Masters, and undergraduate students. We welcome applications from qualified researchers working in any area of bioinformatics whose research will complement and expand current department strengths. Example research areas include but are not limited to: human, model, or non-model organism genomics, precision medicine, statistical genetics, cloud computing approaches in bioinformatics, computational plant genetics, microbiome analysis, phylogenomics, or computational/theoretical ecology.

Anticipated start is in Fall 2026. Detailed description of the position and the application process is available at UNC Charlotte Applicant Site | Assistant Professor.

UNC Charlotte is located within the city of Charlotte, one of the top five cities to live in the U.S. according to 2024-2025 rankings by U.S. News & World Report. Charlotte offers an ideal combination of rapid economic growth, cultural vibrancy, and Southern charm. Home to 18 Fortune 500 and 1000 companies, the city boasts a flourishing economy led by thriving financial and healthcare sectors. Charlotte provides residents with temperate weather, affordability, and a rich cultural scene, including: museums, parks, professional sports teams, and a fast-growing brewery industry. Charlotte is a welcoming community and has a high quality of life.

The University of North Carolina at Charlotte is committed to equality of educational and employment opportunity and does not discriminate against applicants, students, or employees based on any protected status.