The postdoctoral fellow will have opportunities to contribute to projects involving: Multi-omics data integration across genomics, transcriptomics, proteomics, epigenomics, and metabolomics, long-read RNA sequencing and rRNA isoform discovery using PacBio HiFi and other long-read platforms, single-cell RNA-seq analysis and cell-type-specific molecular profiling, gene regulatory network inference using approaches such as GENIE3, SCENIC, and related network-based methods, develop computational approaches for therapeutic target discovery and prioritization, and integration of heterogeneous datasets to generate and test mechanistic biological hypotheses. D., M.D., or equivalent doctoral degree in bioinformatics, computational biology, systems biology, genomics, genetics, biostatistics, biomedical engineering, molecular biology, or a related discipline with documented experience using the appropriate methodology described above including but not limited to long-read RNA-seq analysis (PacBio HiFi sequencing), transcript and isoform discovery, alternative splicing and isoform characterization, genome/transcriptome alignment and annotation, single-cell and gene regulatory network discovery using scRNAseq, and integration of single-cell data with bulk and multi-omic datasets.