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computational and experimental colleagues. Key Responsibilities: Develop and apply computational tools and algorithms for the analysis of large-scale proteomics datasets. Collaborate with cross-functional teams
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cytometry. Outstanding organizational, communication, writing, and presentation skills. Nice-to-Have Proficiency in integration of molecular profiling data including transcriptomic, proteomic, and genomic
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analysis and integration of molecular profiling data including epigenomic, transcriptomic, proteomic, and genomic datasets, into a broader understanding of epigenetic regulation in the tumor microenvironment
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liquid chromatography (LC)-mass spectrometers located in the College of Veterinary Medicine. The applicant will support targeted/untargeted metabolomics and proteomics efforts in the college
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adaptive immune response. Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research. Proficient coding