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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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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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-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 for predictive modeling, biomarker
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animals is desirable but not required. The Postdoctoral Associate will have opportunities for career growth by collaborating with multiple research groups, attending meetings, and through institutional
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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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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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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
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pages double spaced and include: Specific interest in maternal-child health, minority health, behavioral sciences, research design and analysis, and related topics that align with this position. Previous