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Field
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genomics and metabolomics projects using advanced analytical platforms including LC-MS/MS, GC-MS, UHPLC-MS, HRMS, and HS-SPME-GC-MS. Performs targeted and untargeted metabolite profiling. Identifies and
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vivo and ex vivo imaging of cells, advanced image processing and analysis, single-cell profiling, and bioinformatics. In addition, numerous institutional shared resources and core facilities support the
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and multi-omics technologies. Depending on the project, approaches may include microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, Competencies, and Experience Demonstrated expertise in computational analysis of long-read sequencing data (ex. ONT , Pacbio), including variant calling ( SNV , copy-number profiling, structural variation
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proteomics while developing expertise for independent work. Responsibilities: Conduct research aimed at profiling proteome changes in cancerous environments, during process of regeneration and/or in
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, and DNA methylation profiling. · Proficiency in bioinformatics programming and workflow development using languages such as Python, R, and Bash. · Experience developing, implementing, and
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specific TP53 alterations influence cellular behavior and clinically relevant phenotypes. The project will integrate genome editing, functional cancer biology, drug-response profiling, high-content
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experiments, including population-scale iPSC culture, differentiation and single-cell profiling; contribute to project direction across disease systems; publish high-quality research outputs; analyse
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, drug treatment, and immune profiling. Establishes and monitors orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments. Conducts luciferase labeling
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Columbia University Irving Medical Center / Vagelos College of Physicians and Surgeons | New York City, New York | United States | about 2 months ago
malignancy, human patient sample analysis, and flow cytometry- and single-cell-based immune profiling, with a focus on tumor microenvironment interactions and the evaluation of experimental