BACKGROUND

RESPONSIBILITIES

• Perform and optimize genotype calling and imputation on SNP datasets from high-density arrays, re-sequencing and genotyping-by-sequencing approaches
• Analyze phenotypic data in affiliation with groups generating the trait phenotypes to account for experimental design and other effects
• Evaluate GWA approaches, develop analysis pipelines and tools for use by collaborators and conduct training in their use
• Conduct GWAS between high-resolution SNP and whole genome sequence data and phenotypic data to identify significant alleles and SNP haplotypes associated with traits of interest for both breeding and up-stream genetics in collaboration with GRiSP and other research groups at advance institutes
• Report results through publications in international scientific journals, project reports, and conferences/seminars

REQUIREMENTS

• PhD in Genetics, Bioinformatics, Statistics or closely related disciplines

• Develops scientific framework including identification of the problems, formulation of hypotheses, and identification of appropriate approaches and methodologies.
• Leads in research projects and experiments until completion, based on expected outputs.
• Monitors and reports research developments, including critical findings, problems and solution to problems.
• Establishes work priorities, utilizes budgetary and staff resources to accomplish goals.
• Presents research findings in various formats such as refereed journal papers, seminars, conferences, and training materials.

PREFERENCES

• Experience in the application of genome-wide association studies, imputation genetic analysis of populations, skill in DNA sequence analysis, and a working knowledge of plant genomics, Linux, and programming.

LOCALE

HOW TO APPLY

DEADLINE