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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in one or more of the following areas: 1) iPSC differentiation and organoid
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addition, candidates with research experience with bioinformatics and next-generation sequencing are preferred but not required. Job Description Primary Duties & Responsibilities: Information on being a
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/epitranscriptomics sequencing techniques e.g. ChIP-Seq, MeRIP-seq, and CLIP-seq genomics or bioinformatics gene-editing techniques including CRISPR FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per
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following areas: stem cell biology/chemical biology epigenetics/epitranscriptomics sequencing techniques e.g. ChIP-Seq, MeRIP-seq, and CLIP-seq genomics or bioinformatics gene-editing techniques including
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: • Experience with antigen-specific immune monitoring (e.g., MHC class I tetramers) • Experience in confocal imaging, ELISA, and viral assays • Experience with bioinformatic workflows and interpretation of immune
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Preference will be given to candidates with one or more of the following: Experience with ELISAs, immunology, bioinformatics, microscopy. Experience working in Latin America. FLSA Exempt Full Time/Part Time
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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the key duties for this position are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of 1) the regulation and
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, data managers, data analysts, and bioinformatics professionals involved in the projects. Identifies barriers, explores solutions, proposes and implements solutions while engaging the appropriate
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sciences or related fields). The successful candidate must have a background in bioinformatics for omics data analysis (e.g., (meta)genomics, (meta)transcriptomics, proteomics, and metabolomics data