A Postdoctoral Research Associate position in cancer and genetic epidemiology is available at the USC Center for Genetic Epidemiology within the Department of Population and Public Health Sciences at USC. The applicant must have a Ph.D. (or equivalent qualification) with training in epidemiology, biostatistics and/or statistical genetics. The postdoctoral fellow will work directly with Dr. Chris Haiman and Dr. Fei Chen on analyzing risk factors, genetic (e.g. GWAS, whole-genome and whole-exome sequence, copy number variants, LoY, CHIP) and other omics data (e.g. metabolomics, proteomics, methylation, microbiome) from diverse cohorts including the Multiethnic Cohort study, the RESPOND African American prostate cancer study and other large-scale genetics consortia (e.g. NHGRI PAGE and PRIMED). In addition to cancer, non-cancer outcomes will also be examined including anthropometric traits, diabetes, chronic kidney disease and related biomarkers. Studies focused on developing multi-omics risk prediction models, rare and structural variant analysis and health disparities research will be available. Desired is an applicant familiar with many of the most common analytic tools for genetic association studies. In addition, they will participate in the presentation of their research and in the writing of publications. The position requires a highly motivated individual with excellent written and verbal communication skills. Preferred Experience: Training in epidemiology, biostatistics and/or statistical genetics Preferred Field of Expertise: Epidemiology, biostatistics and/or statistical genetics The annual base salary range for this position is $70,000 - $75,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. African American prostate cancer study and other large-scale genetics consortia (e.g. NHGRI PAGE and PRIMED). In addition to cancer, non-cancer outcomes will also be examined including anthropometric traits, diabetes, chronic kidney disease and related biomarkers. Studies focused on developing multi-omics risk prediction models, rare and structural variant analysis and health disparities research will be available. Desired is an applicant familiar with many of the most common analytic tools for genetic association studies. In addition, they will participate in the presentation of their research and in the writing of publications. The position requires a highly motivated individual with excellent written and verbal communication skills.