642 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" uni jobs at University of Pennsylvania
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, Glasswash, Remote Location Support, and Event Support. The position facilitates daily office operations, drafts and disseminates confidential information, handles high-volume communications and customer
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is required. Familiarity with UPENN sponsored research policies and related financial system is preferred. The candidate will possess strong organizational, data management and documentation skills, is
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for all aspects of study coordination including subject recruitment, detailed data entry, collecting biospecimens, subject visits and follow-up and regulatory documentation. Job Description Job
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, enrollment, data collection, and sample handling. Supports IRB submissions and helps prepare manuscripts, grant proposals, and presentations. Works closely with the Principal Investigator, manager, and study
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, conducting study visits, processing and shipping of labs, entering data into databases, and escorting participants to other testing/procedure areas. Additional duties include preparation and submission
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analysis. The SRI will be responsible for (1) developing and maintain the database to house recruitment related data and data quality control for ACAD, (2) coordinate ACAD recruitment related tasks across
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and procedures for the handling and processing of faculty complaints and allegations. Monitors, evaluates, and analyzes relevant faculty data, providing reports to internal and external parties as
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Bioinformatician A Job Profile Title Bioinformatician A Job Description Summary Bioinformatician supporting the Levin Lab in the Division of Cardiovascular Medicine. The position focuses on genomic data analysis
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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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finance, and macro finance. This position offers hands-on experience with data collection, quantitative analysis, and exposure to a wide range of research topics in finance. A successful Predoctoral