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electrophoresis, and preparation of samples for sequencing or downstream analysis. · Perform routine cell line work, including thawing, expansion, authentication, and cryopreservation. · Write and
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advance these research goals. Analyze high-throughput sequencing data to identify molecular determinants of cancer progression and therapeutic response. Develop and apply computational pipelines
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immune organs for in vivo experiments · Process and analyze single cell RNA sequencing data Your qualifications should include: · Bachelor’s degree. Masters degree preferred · 2
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a wide range of studies, including transcriptomic, epigenomic, proteomic, T-cell receptor rearrangement sequencing, high dimensional spectral flow cytometry, in vitro organoid, and in vivo
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or MSc. in Bioinformatics, Computational Biology, or related field. Knowledgeable of Bioinformatics techniques, next generation sequencing data and pipelines. Ability to implement, develop and modify
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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for next-generation sequencing. Project coordination: create and manage schedules for project tasks, deliverables, and milestones (e.g., annual progress reports for foundations/NIH/ARPA-H grants); assign
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cancer genomics to help advance these research goals. Analyze high-throughput sequencing data to identify molecular determinants of cancer progression and therapeutic response. Develop and apply
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lines, and iPSCs), DNA and RNA isolation, RT-PCR, Western blotting, RNA and spatial sample preparation, sequencing library preparation, immunohistochemistry, tissue collection and processing