369 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at Nature Careers in United States
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of The Commercial Appeal's Top Workplaces in the greater Memphis area. Operates under general supervision. Performs data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or
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subsequent animal health monitoring for intracranial tumors models. Evaluate and interpret collected data and prepare reports and analyses setting forth progress, adverse trends, and appropriate
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are at the forefront of groundbreaking discoveries with inquiry in six research focus areas: Electronics, Quantum and Communications , Data-Driven Materials Discovery , Health and Medicine , Infrastructure and Extreme
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, value proposition s , targeting and positioning, claims development, and user needs. Collect and analyze essential data through secondary and primary market research . Create clear, compelling, data
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providing support around IT systems (e.g. operating systems; setup and configuration of computers, printers in a networked environment, and mobile devices; maintenance of hardware components and computer
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exceptional menus, purchase goods). Monitors temperature controls and periodically conducts audits, identifying trends, patterns, and insights from the data to drive operational improvements. Works closely with
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional
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the validity of the clinical research data, verify patient eligibility, develop, maintain and/or monitor data collection forms, and enter clinical findings into a study related database.This role will be
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specimens for reference laboratories, data retrieval, reporting, preparation of files, waste stream management, and planning of inventory). Assist with ongoing quality control and compliance tracking and
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experiences. This role collaborates with researchers, physicians, educators, and internal teams to create interactive, standards-aligned instructional materials that foster scientific thinking, data literacy