The candidate will be responsible for: • Participating in a multi-disciplinary team of scientists to offer statistical, transcriptomics and potentially other omics solutions for controlling pests and diseases in plant and promoting plant health using microbes; • Proactively identifying and incorporating new algorithms and technology to automate the analysis of microbial genomes; • Managing next-generation sequencing (NGS) data and analyses; • Training research staff on the use of relevant bioinformatics software and tools; • Working with other non-bioinformatics team member in the Informatics group to understand their roles and to serve as backups as needed; • Communicating effectively through listening, documentations and presentations, especially using compelling visualization tools to share analysis and interpretation of data. The candidate is required to possess the following: • M.S. or Ph.D. or equivalent in Statistics, Bioinformatics, Genomics, Microbiology, Plant Biology, Ecology and Evolution, or related field and any level of post-graduate industry and/or academic experience; • Fluent in R and familiarity in one other scripting language (Python, Perl, Java); • Knowledge and experience with statistical tools, analyses, and libraries in R; • Ability to handle a large data set efficiently using custom scripts, particularly in the analysis of NGS data; • Experience and familiarity with commercial and open-source bioinformatics tools; • In depth familiarity with various public genomic databases; • Experience in at least two or more of the following areas: generalized linear models, transcriptome sequencing analysis, comparative genomics, pathway modeling and analysis, metagenomics analysis, and/or genome wide association studies. Preferred Skills/Experience: • Knowledge of bacterial and plant genetics, ecology and/or evolution is desired; • Experience working in the biotech sector focusing on plant health and crop protection; • Understanding the dynamics of plant, microbe and pest/pathogen interaction using various omics technologies; • Familiar with SQL and relational database, particularly PostgreSQL.