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Internal Number: 249342 Position Summary: Rutgers, The State University of New Jersey is seeking a Bioinformatics Specialist within the Rutgers Cancer Institute-Bioinformatics Department. The primary role
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Position Details Position Information Recruitment/Posting Title Bioinformatics Specialist Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ-Bioinformatics
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. The role involves maintaining accurate records, managing databases, and participating in data analysis, including bioinformatics and statistical assessments. The technician plays a leadership role in daily
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accurate records, managing databases, and participating in data analysis, including bioinformatics and statistical assessments. The technician plays a leadership role in daily lab operations, equipment
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preparation and delivery of lectures, configure various bioinformatics tools, analyze data, and support Bootcamp students, assisting with installing, debugging, and troubleshooting as needed. Essential duties
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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 function of tumor suppressor p53 and its
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are the following: Assists PI with epidemiological and complex bioinformatics data management and analysis in multi-omics microbiome research; conducts research processes and procedures in the PI laboratory. Assists
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are the following: Assists PI with epidemiological and complex bioinformatics data management and analysis in multi-omics microbiome research; conducts research processes and procedures in the PI laboratory. Assists
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research in publication editing, bioinformatics analysis, imaging analysis, histology. Ensures that glassware and equipment are kept clean and are properly stored. Prepares stock solutions and buffers
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ongoing research projects, including but not limited to mouse studies, Western blotting, and immunohistochemistry. Assists with and performs bioinformatics analyses of high-throughput sequencing data