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. Projects will include next-generation sequencing based profiling studies of RNA-Seq, ChIP-seq, HiC-Seq, ATAC-Seq, etc…to fully characterize epigenetic changes involved in the development of hematologic
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biology. Experience with single-cell RNA sequencing data analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong
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data analyses resulted from next generation sequencing data. Maintains accurate records of research findings and the analysis of results. Assist in the preparation of manuscripts for publications and
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Integration: Integrate multi-modal data (e.g., single-cell RNA sequencing, spatial omics) to uncover new insights into cancer biology and therapy. Algorithm Development: Create and refine algorithms
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emergency management agencies, healthcare systems, academic institutions, and community organizations to align training and research initiatives with real-world needs. Participates in collaborative planning
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, and experience with mice is preferred. Lab also uses cutting edge technologies like bulk and single cell RNA sequencing, PDX organoids, co-culture organoid system of stem and immune cells and multiplex
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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Specific Functions This post-doc will work in the laboratory of Dr. Brian Walker utilizing pre-clinical models of Multiple Myeloma, which is embedded in Sylvester’s Myeloma Institute (Director Dr C. Ola
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(Dr. Zhipeng Wang) focus on chemoproteomics, nucleosome biology, and epigenetics, aligning directly with the Sylvester Comprehensive Cancer Center’s mission to advance cancer research. #LI-YC1
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cytometry Perform genomic data analyses from next generation sequencing data (eg. RNAseq, scRNAseq, spatial ‘omics profiling)—prior experience with genomic data analysis is helpful but not required Stay