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with Principal Investigators (PIs) managing and overseeing the various aspects of clinical trials and research. Key responsibilities and tasks include study coordination, data collection, regulatory
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allocates approximately 70% of time to hands-on experimental research, 20% to scientific reporting and data presentation, and 10% to teaching and other academic responsibilities. Minimum Qualifications: MD
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smooth onboarding experience. Initiate and process template-based hires in Peoplesoft and/or nominations ensuring accurate collection and processing of the information collected in PAC. Process all short
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challenges, and plan next steps. Perform other job duties as assigned. REQUIRED QUALIFICATIONS: PhD in computational or systems biology, bioinformatics, biostatistics, data science, biomedical engineering
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following areas of research: Economics and Statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare
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the collection and analysis of maternal/fetal/infant physiological and behavioral data in support of research on the effects of prenatal exposures to a variety of risk factors such as premature birth, and
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analysis of related data. Manage data using Excel and other repositories. Generate quality control reports and analyze clinical results. Collect patient information and maintain equipment. Triage incoming
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Engagement, and the CC Data Group to guide the development and use of data, assessment frameworks, and reporting to inform decision-making and continuous improvement. Oversee operational activity within USL
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of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and
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needs assessment interviews with community members, data collection, and assist with data analysis. Attend staff and team meetings. Communicate clearly and routinely with Program Manager and team. Report