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: • Research experience in large-scale analysis of multi-omics data, including gene expression, copy number, mutations, methylation, proteomics, metabolomics, and their application within relevant oncology
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biology and cell biology techniques such as RT-PCR, Western blot analysis, immunostaining, cell culture, CRISPR to generate mutant cell lines, CHIP-Seq, proteomics RNA-Seq, etc. Maintain accurate records
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, which will include the use of biochemistry, cell biology, immunology, molecular biology, proteomics, genomics, animal modeling and mouse genetics, and/or the use of human tumor xenograft models. A prior
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of molecular mechanisms. The candidate will have access to state-of-the art proteomic, transcriptomic, genomic, and spatial multiplex analysis platforms (e.g., single cell RNA-Seq, Hyperion imaging cytometry
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therapy resistance. The candidate will analyze and integrate high-throughput multiomics data including transcriptomic, genomic, epigenomic, functional genomic, chemical genomic and proteomic data from bulk