p>Specific research topics include: • Genetic association analyses: whole genome and whole exome sequence associations and polygenic risk scores for various long-term health outcomes among survivors of European and African ancestries • Analyses of multi-omics: genomics, transcriptomics, proteomics, and metabolomics, and system genetics (e.g., eQTLs regulating molecular responses to cancer therapies in human induced pluripotent stem cells) • Evaluating health disparities through pharmacogenomics.
PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology, pharmacogenomics, statistical genetics, or population genetics, and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific programming languages (e.g., R, Python, C++) Excellent communication and writing skills.