Description of position: Texas A&M AgriLife Research has an opening for a Postdoctoral Research Associate in genomic and chemical analysis. This is to support major projects in peanut genomics and breeding, and in hemp quality analysis. The focus of the peanut genomics work is to provide genomics support for an international, multi-institutional marker-assisted introgression program to bring wild species alleles for resistance to diseases and pests of peanut into a cultivated genetic background and identify QTLs for resistance, as well as to support an ongoing marker-assisted breeding program. The hemp project is part of a larger Texas A&M AgriLife project to assist in development of a hemp industry in Texas, and will provide chemical analysis of samples to determine the concentrations of specific chemical compounds in samples provided.
Duties of the position include: 1. Peanut wild species introgression project analysis: • use SNP markers to determine introgression of wild species DNA for marker-assisted backcrossing • perform whole genome sequencing of parents • work with collaborating projects to run QTL analysis on their phenotypic data
2. Biochemical and genomic analysis • perform extraction of phytochemicals from field samples • determine chemical composition of hemp samples by HPLC for growers statewide • provide peanut seed chemical composition data to breeding programs
3. Advance breeding populations • provide analysis for marker-assisted breeding efforts • assist with field experiments, particularly collection of samples for analysis • analysis of germplasm for disease or abiotic stress tolerance
4. Write articles for publication based on analysis of data • publish in refereed journals • provide data for grant reports • assist with writing of grant proposals
Required: • PhD in plant science, biology, chemistry, or agriculture
Desired: • Research work in plant genomics • Ability to analyze next generation sequence data using Linux-based software • Ability to perform linkage mapping and QTL analysis • Experience in laboratory analytical methods (HPLC or GC) • Coursework in statistics • Familiarity with polyploids • Crop field work • Ability to handle large numbers of samples • Ability to provide data to stakeholders in a timely manner