Genetics - 423501

05/20/2026

Yes

Postdoctoral Scholar

Post-Doc Research Associate (Schrider)

PDS004866

Full-Time Temporary

40

1

Chapel Hill, NC

North Carolina, US

Dependent on Experience

07/01/2026

12 Months

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 Schrider Lab at the University of North Carolina at Chapel Hill is hiring a postdoc in population genetics and/or phylogenetics. The successful candidate will help design and carry out projects related to one or more of the following:

1) the development and application of computational methods to interrogate the impacts of (and interplay between) adaptation, recombination, introgression, and demographic changes on genetic diversity within and between species;

2) elucidating the phylogenetic relationships among species and/or the genealogical relationships of individuals of the same species;

3) the study of these or other evolutionary questions in mosquito genomes;

4) examining the dynamics of evolutionary models (e.g. the evolution of therapeutic resistance in cancer) via simulation and/or analytical theory.

PhD in Evolution, Genetics, Genomics, Bioinformatics, Computer Science, or related fields.

The successful candidate will have a strong research background in evolutionary genetics and/or computational genomics.

The ideal candidate will be an individual who is highly motivated by team science.