The division of Asthma Research is seeking a Research Fellow who will be involved in the analysis of cutting-edge high-throughput omics (genomics, transcriptomics, epigenomics, and microbiome) and clinical data generated from allergic disease patients. Key Functions: Integration omics results including genome, transcriptome, microbiome, and epigenome results with clinical and environmental exposure datasets; Participate in development and testing statistical methods for omics and clinical datasets We are looking a candidate with PhD in bioinformatics, computational biology or statistical genetics A strong background in genomics, computational biology, and/or statistics as well as experience in high-throughput integrative analyses of different types of NGS data, extensive scripting and programming knowledge, data visualization is required. The ideal candidate will have: an interdisciplinary background in bioinformatics and computational biology and genomics; advanced expertise in the analysis and interpretation of microbiome data and its integration with other “omics” data sources, including genetic variants, gene expression and epigenetics; good programming skills; and advanced knowledge of statistical and machine learning methods.