516 data-"https:" "https:" "https:" "https:" "https:" positions at University of Pennsylvania
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enrollment in study databases (REDCap), genetics databases (Progeny and ACCARD), as well as ACC required documentation (CTMS). The research coordinator will be responsible for data abstraction from
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architectures, reusable components, and well-tested frontend code following industry best practices Collaborate closely with backend and cloud engineers to design clean APIs, integrate data services, and ensure
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. Qualifications: Bachelor's degree 10+ years of progressively responsible experience working with student information systems, preferably Ellucian Banner, or administrative ERP systems preferably in a decentralized
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enrollment, scheduling and follow-up, data collection, and regulatory documentation while collaborating closely with the CRU team. Position is contingent upon funding. This position is hybrid eligible after
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with ordering, organization and maintenance of lab reagents and supplies. Data analysis and data management. Processing human peripheral blood samples for plasma/serum and PBMC. Processing tissue samples
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, spanning topics including monetary policy, financial markets, and institutional design. This position offers hands-on experience with data collection, quantitative analysis, and exposure to a wide range of
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of Dr. Crespo and the investigative team, and following training, the candidate will be required to perform duties related to gathering patient and donor data from Epic and UNOS into the database. Should
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, computational, and microscopic techniques to analyze behavioral and neuronal changes in C. elegans using a specialized microscopy, imaging platforms and computer vision analyses. Also assist with lab organization
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specialist to serve as a data analyst and project manager for ongoing research projects. This individual will collaborate closely with Dr. Hopkins and staff members of the Penn Program on Opinion Research and
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candidates for research participation, conducting research visits, and ensuring the seamless flow of biological sample acquisition, data, and communications across translational research collaborations