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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Integrate complex molecular data (e.g. transcriptomics, proteomics, metabolomics) to derive insights and understand the underlying biology. Basic Qualifications:PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years.
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Head Computational & Systems Biology, Senior Director Early Clinical Development And Biomarker Gastr
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Identify, build, and use bioinformatic pipelines to QC, process, and analyze omics data types including genomics, transcriptomics, single cell sequencing, proteomics, metabolomics and more. Identify, build, and use bioinformatic pipelines to QC, process, and analyze omics data types including genomics, transcriptomics, single cell sequencing, proteomics, metabolomics and more.
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Experience in analysis of high-dimensional molecular data, such as single-cell RNAseq, Exome and Whole Genome Sequencing, high-throughput proteomics. PhD in genomics, genetics, bioinformatics, computational biology, engineering, statistics, or a related field and 8 or more years relevant experience preferred.
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Experience supporting scientific services within a quality management / regulatory framework Experience in designing and managing metabolomics and proteomics studies is a plus. Direct experience with High Resolution Mass Spectrometry for large molecule analysis for ADME/DMPK/Biotherapeutics applications Demonstrated technical knowledge of Metabolomics in regards to pharmaceutical drug metabolism.
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For this position, expertise is required in the specific area of cancer biology, including, but not limited to, cancer immunology, single-cell biology, tumor heterogeneity, chemical biology, mitochondrial biology, proteomics, genomics and computational biology, cancer metabolism, cancer genetics, cancer cell biology, tumor microenvironment, mechanisms of therapy resistance, metastasis, oncogenic signal transduction pathways, genome integrity, cancer epigenetics, and /or systems biology.
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Work collaboratively in cross-functional teams with chemistry, proteomics, drug discovery and AI/machine learning. The ideal candidate brings expertise in functional assay development and molecular biology techniques with a passion for discovery and development of small molecule drugs.
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A combination of cutting-edge tools will be employed, including biochemistry, molecular and cellular biology, mouse genetics, genomics, metabolomics, proteomics, and endocrinology. A combination of cutting-edge tools will be employed, including biochemistry, molecular and cellular biology, mouse genetics, genomics, metabolomics, proteomics, and endocrinology.
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The University of Chicago's Proteomics Platform is seeking a Research Scientist to play a pivotal role in driving advanced proteomics research using our suite of next-gen Orbitrap instruments.
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Strong interest in proteomics. Sample preparation for mass spectrometry analysis, including protein purification. To accomplish this goal, the lab is developing mass spectrometry-based technologies that can identity protein-protein interactions on a large scale and how protein朴rotein interactions change over time.
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In the past decade, as the fields of proteomics and metabolomics have developed as leading techniques for determining biomarkers for disease presence, progression and the monitoring of therapeutic response, CIL has worked closely with industry leaders and researchers to provide the stable isotope-labeled tools needed for improved quantitation and qualification of complex biological systems.
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We apply a multidisciplinary approach to our research and actively collaborate with virology, cell biology, genomics, proteomics, microscopy, and data science teams at the CZ Biohub San Francisco.
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Utah.edu), including genomics/metabolomics/proteomics, a GMP -certified cell therapy and regenerative medicine facility, and a comprehensive biospecimen repository, which serve to enhance both discovery and translational science.
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5-10 years post PhD experience focused on cancer biology, assay development or spatial proteomics. 7+ years of practical post-doctoral lab experience focused on spatial proteomics, imaging or single cell technologies.
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To meet these goals, you will collaborate with relevant ENIGMA metabolomics, proteomics, computational, and field teams to provide work results. A Bachelor’s Degree (or equivalent knowledge/training) in Microbiology, Virology, Genetics, Biochemistry, Bioengineering, Synthetic Biology, Genomics, Molecular Biology, or a related field and a minimum of 1 year relevant experience in Genome/Plasmid preparation, PCR, and Gel Electrophoresis or an equivalent combination of education and experience.
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proteomics job
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