BACKGROUND

RESPONSIBILITIES

• Lead efforts to apply computational genetics methods and bioinformatics tools on largeNGS and SNP datasets of breeding populations as the basis for selection using genomic-estimated breeding values, in coordination with IRRI's Genotyping Services Lab and the bioinformatics and quantitative genetics teams (30%).
• Analyze NGS and SNP data to characterize SNP haplotype patterns and define alleles and donor introgressions for major genes of interest in breeding materials and improve the predictive ability of trait-specific markers, in coordination with IRRI's bioinformatics, trait development, and marker validation teams(25%).
• Help optimize the molecular marker analysis workflow at IRRI to enable rapid processing of high-throughput genotyping data of breeding materials using an integrated LIMS and data management pipeline, working closely with the bioinformatics and breeding information management teams (15%).
• Assist in the effort to validate predicted marker-trait associations from ongoing GWAS projects and quickly introgress high value GWAS hits and QTLs into the breeding populations (10%).
• Report results through publications in international scientific journals, project reports, and conferences (10%).

REQUIREMENTS

• PhD in Computational/Statistical/Quantitative Genetics, Bioinformatics, Computer Science, Plant Genetics, or closely related field;
• Experience in the application of molecular markers in the genetic analysis of populations, demonstrated success in using bioinformatics tools in the analysis of high-throughput genotyping and sequencing data sets, and a working knowledge of plant genetics

HOW TO APPLY

DEADLINE