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are desirable. Candidates with additional expertise in 3D cell culture, xenografting, and/or single-cell sequencing would be highly competitive. Bioinformatic experience would be welcomed, though no prior
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spectroscopy, flow cytometry, or single-cell analysis tools. Competence in bioinformatics tools for model refinement or omics integration. Overtime Status Exempt: Not eligible for overtime Appointment Type
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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: Bioinformatics, Flow Cytometry, Immunology, Mammalian Cell Culture, Molecular Biology, Mouse Models, Sample Analysis Questions For frequently asked questions about the application process, please refer to our
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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, metabolomics, and bioinformatics. Postdocs have abundant opportunities to interact with a vast research community offered by Rutgers campuses and participate in various career training and activities. New
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning