695 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at University of Pennsylvania
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organization and inventories (as part of a team doing this). -- Keep detailed records of experimental work in a lab notebook -- Analyze flow cytometry, and imaging data -- Represent analyzed data in the form
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Description Job Responsibilities Facilitate recruitment of human study subjects; contact and screen candidate subjects Archiving data and recording details of data collection Collecting and analyzing
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correspondence; Invoice study activities, Perform subject reimbursement according to study protocol and verify accuracy; Perform data entry; Performing preliminary cognitive or imaging analyses if applicable
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computer-based systems. Flexibility, teamwork, and a sense of humor are valued attributes for success in this role. This is a year-round, part-time position offering a flexible schedule and the opportunity
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oversee the audit, improvement, and enforcement of the University’s health insurance and immunization requirements. Oversee multi-system data integration and analysis to inform outreach efforts, propose
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policies to the collection, maintenance, use, and dissemination of data and information. Facilitate initial and ongoing informed consent process Care Coordination and Continuity Coordinate research
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of patient derived samples, particularly in the generation of massively parallel sequencing data, but also in other sophisticated methodologies. S/he will be responsible for the generation of data and data
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of Pennsylvania is implementing a campus transformation entitled Penn Connects (http://www.pennconnects.upenn.edu). This comprehensive, award winning effort is expanding the campus over the next 20 years, including
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alignment with salary ranges based on external market data for the job’s level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is
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, transforming complex institutional data into actionable intelligence. This role bridges the gap between raw data infrastructure and frontline fundraising strategy by designing, building, and maintaining robust