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, protein engineering, systems immunology, and tumor microenvironment profiling by scRNAseq / flow cytometry are preferred. The ideal candidate will be self-motivated and driven to develop new treatments
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includes: Single-cell and/or spatial genomics technologies Next-generation sequencing (NGS) techniques Computational analysis of genomic data Working with mouse models of disease Flow cytometry and related
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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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