The successful candidate will analyze and integrate cross-sectional multi-tissue and longitudinal datasets spanning DNA methylation, RNA-seq, single-nucleus RNA-seq, ATAC-seq, CUT&Tag, metabolomics, proteomics, immune phenotyping, genotype data, behavioral observations, social adversity, endocrine and physiological measures, reproductive outcomes, and survival. The position will be embedded in a collaborative, multi-institutional NIH U19 team that integrates genomics, epigenomics, immunology, physiology, neuroscience, skeletal biology, behavioral biology, social-network analysis, biostatistics, and nonhuman-primate biology to understand aging heterogeneity across tissues, organ systems, and the life course.