The Department of Population and Public Health Sciences is seeking a postdoctoral fellow in computational or systems biology to study the interplay of environmental/lifestyle factors, genetics, and epigenetics in the etiology of cancer and other chronic diseases. We look for a highly motivated and competitive postdoc with a detailed understanding and knowledge of genomic and epigenomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate will be able to process and 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 interacti