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Posting Details Posting Details Job Title Lead Proteomics Scientist Requisition Number RE55208 Working Title Department Name 40836:Mass Spectrometry Service Center Work Location Lexington, KY Grade
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Location ST. LOUIS, MO 63110 Scheduled Hours 40 Position Summary We integrate quantitative proteomics, functional genomics, chemical biology, biochemical reconstitution, and disease-relevant models
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cancer detection in patients at risk. Multiple sample derived datasets are being generated, including genomic DNA analysis, serum proteomics, peripheral blood mononuclear cell (PBMC) analysis, RNAseq
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spectrometry-based proteomics to understand how proteins, their interactions, and their modifications drive disease and drug response, and we develop the methods to address these questions across basic, clinical
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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position within a Research Infrastructure? No Offer Description Activities and context The successful candidate will join a multidisciplinary project spanning immunology, oncology, proteomics, genomics
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of Medical Sciences We are seeking a highly motivated and enthusiastic Postdoctoral Research Associate with an interest in human plasma proteomics to join a pioneering project exploring the links between
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 10 hours ago
mitochondrial diseases. Using a set of cutting-edge proteomic, biochemistry and molecular biology approaches combined with tailored cell culture models relevant to neuronal and muscle biology, you will
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technology platforms (advanced fluorescent microscopy, single-cell proteomics and transcriptomics). • An interdisciplinary and internationally connected research environment • Opportunities
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degraded biological material. Our research combines molecular biology, genomics, proteomics and bioinformatics to investigate biological information preserved in challenging and highly degraded samples. We