359 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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Collect and analyze experimental data Collaborate with team members and investigators Preferred Skills: Basic understanding of molecular biology techniques Familiarity with CRISPR-Cas9 technology (training
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treatment machines, imaging systems, and patient-specific quality assurance, including the collection and processing of treatment-related data. Assists in maintaining physics equipment and organizing
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clinical-track faculty physicists, four dosimetrists, two medical physics assistants, and dedicated engineering, information systems, and research staff - including research scientists, postdoctoral fellows
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independently. Prepare standard reports related to budgets, variances, and expenses ensure accurate documentation and data management while maintaining confidentiality. Support faculty members or leaders with
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years of employment: RHIA: Registered Health Information Administrator. CHC: Certified in Healthcare Compliance. CHRC: Certification in Healthcare Research Compliance. CHPC: Certification in Healthcare
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faculty/PIs and Administrative Staff to ensure that grant applications are submitted appropriately. This position has access to and regularly works with information of a sensitive and confidential nature
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biostatistics II for the MS in Applied Biomedical Data Sciences program. Engagement in educational research is a plus. Job Responsibilities: Teach graduate-level courses with an emphasis on active, student
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The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel
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through oversight of documentation, materials, workflows, compliance processes, and personnel support. For more information about the lab, please visit: Ed Boyden - Synthetic Neurobiology Group About the
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, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional programs focusing on data