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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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to carry-out molecular breeding experiments using genomics, phenomics, and bioinformatics. Candidate should have a record of submitting manuscripts through the peer-review process scientific journal. A copy
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., oxidoreductases). It is expected that the Postdoctoral Associate will have expertise in several of the following areas including bioinformatics, bioinorganic chemistry, structural biology, microbial genomics
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projects. Develops research plans and budgets, designs and implements statistical, machine-learning, and bioinformatic methodologies, and manages project workflows while ensuring all sponsor requirements and
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are currently recruiting candidates with expertise in data science, machine learning, computational or systems biology, and/or bioinformatics, with interest in applying computational methods in the context of all
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. More information about the lab can be obtained at https://deaconesculab.com Position Status Full Time Posting Number 25FA0742 Posting Open Date Posting Close Date Qualifications Minimum Education and
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sequencing and bioinformatics. Keeps up-to-date with technical and theoretical knowledge related to the projects. Generates, compiles and presents experimental data with appropriate conclusions
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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01/07/2026 Qualifications Minimum Education and Experience Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field. A research program with
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Collaboratory for Structural Bioinformatics Protein Data Bank and membership in the Department of Chemistry and Chemical Biology. The University is seeking an expert in computational structural biology with