The Department of Population and Public Health Sciences is seeking a postdoctoral fellow in computational or systems biology to study the interplay of environment, genetics, and epigenetics in the etiology of cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with expertise in processing and analysis of genomic and epigenomic data, experience in multi-omics data integration, and working knowledge of computational modeling and machine learning. The ideal candidate will be able to analyze high dimensional sequencing data, perform network-based analysis (e.g., WGCNA) and functional enrichment analysis to identify key genes, including gene modules, drivers, and hubs, and their interaction networks that govern disease development in humans.