255 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Columbia University
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on volume patterns. Conducts scheduled meetings/huddles with staff to ensure consistent transfer of information, smooth patient flow, and team driven coordination of care and services. Trains staff on new
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monthly budgeting, projecting, and reconciling of research finances for portfolio of accounts. Updates monthly portfolios and ensures continued accuracy of information. Leads monthly meetings with PIs
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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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email lead for several schools and central initiatives, executing complex, data-driven email campaigns in Salesforce Marketing Cloud while coordinating closely with unit liaisons, analytics partners, and
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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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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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of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
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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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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
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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