The Postdoctoral Associate will work with diverse datasets that includes bulk RNA-seq, single-cell RNA-seq, proteomics, metabolomics, ATAC-seq, ChIP-seq, spatial transcriptomics, spatial proteomics, spatial metabolomics and imaging mass cytometry (CyTOF). This position provides an excellent opportunity to work at the interface of cancer biology, computational biology, bioinformatics, and biostatistics, with access to state-of-the-art multi-omics technologies, patient-derived models, 3D cancer models, and clinically annotated human specimens.