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This team member will be using molecular biology and omics workflows including next-generation sequencing and proteomics as part of a diverse group of researchers, software engineers, and data scientists.
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Strong analytical background with fundamentals in assay development, system suitability, and method evaluation Experience with discovery proteomics approaches (TMT, DIMS, SWATH, etc.) Experience in clinical proteomics and clinical sample processing is required.
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Job Duties OutlinedResearch Overview: Work with PI/faculty mentor and other laboratory members, to analyze and interpret large scale quantitative proteomics datasets generated using cross linking mass spectrometry studies on affinity purified protein complexes, isolated organelles from cells and tissues, and complete networks from cells and tissues.
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We have particular interest in applicants with expertise in whole animal systems physiology and pharmacology, in vivo imaging, quantitative receptor mediated signal transduction, metabolomics, proteomics and transcriptomics.
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The interdisciplinary faculty with expertise in structure-based drug design, pharmacogenomics, proteomics, metabolomics, pharmacokinetics, pharmacometrics, and nanotechnology are advancing basic and applied science in the enhancement of human health and well-being.
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With metabolomics and proteomics data analysis. experience in various cell and molecular biology techniques including, cell culture (primary and stable cell lines), transfection, stable cell line generation, MSD, ELISA, RNA purification, RT-qPCR, western blots, and other standard cell-based or biochemical assays.
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Core resources include flow cytometry, confocal microscopy, state-of-the-art proteomics and genomics centers, extensive biosafety level three facilities, and newly renovated animal facilities. Core resources include flow cytometry, confocal microscopy, state-of-the-art proteomics and genomics centers, extensive biosafety level three facilities, and newly renovated animal facilities.
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Conduct computational analysis of genomics and immunogenomics data from high-throughput profiling technologies (bulk and single cell), such as single-cell DNA/RNA/TCR/BCR/ATAC-seq and spatial transcriptomics & proteomics platforms, and perform high-dimensional, multi-modal data integration.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Ideal candidate will lead their own project, and perform mammalian cell culture, in vivo mouse experiments, quantitative TMT mass spectrometry proteomics, metabolomics, western blot, pulldowns, DNA cloning, immunostaining, confocal microscopy, high throughput screens, and bioinformatic data analysis.
$68,000 - $73,230 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise in a range of biomarker techniques, including but not limited to proteomics, genomics, imaging, and bioinformatics. Expertise in a range of biomarker techniques, including but not limited to proteomics, genomics, imaging, and bioinformatics.
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Responsible to perform complex data analyses or processing of high-throughput genomics and proteomics datasets. Individuals in this position may work on different projects and areas of research, including cancer genomics, functional genomics, immunology, molecular imaging, regeneration, data management and integrations, and querying biological datasets.
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Apply high efficiency proteomics sample preparation methodologies covering many experiment types (immunoprecipitation affinity, PTM analysis) Design, oversee and perform the sample preparation prior to proteomic activities for biomarker discovery and enrichment of HLA presented peptides for therapeutic optimization.
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Scientific focus areas could include single cell biology, imaging, genomics, and proteomics. Expertise in using modern frameworks for distributed computing and infrastructure management, particularly as related to ML models, (e.g. Apache Spark, High Performance Compute (HPC), Distributed Tensorflow, etc.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Experience in IHC and/or proteomics. Experience with flow cytometry, cell culture, cell viability assays, Western blot analysis, cell-based fluorescence and chemiluminescence assays, and cell line engineering.
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proteomics job
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