410 data-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" positions at University of Pittsburgh
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
technology systems, workflows, data analytics, and reporting. * Overseeing endowment-related aspects of the University’s annual audit. * Performing operational due diligence on prospective investment
-
documentation of new genomics projects. Maintain project records, data tracking sheets, and status summaries for leadership. Help streamline investigator engagement and improve the overall experience of partners
-
across multiple projects and the C4 Center more generally. The Research Assistant will support day-to-day operations of multiple projects include assisting with data collection and data entry, paying
-
independently supervising the coordination all associated research activities, including data collection, input, and analysis locally and in collaboration with other institutions, collaborators, and research
-
papers. Audits research studies, monitors study budgets, resolves complex data collection issues, and implements protocol-specific study recruitment plans. Trains staff and oversees student workers; leads
-
partners; Delivering manualized health education information to program participants; Helping participants identify appropriate health and social services; Provide participants with social support and
-
information regarding federal regulations and ethical considerations. Provides regulatory protocol training. Crafts and distributes applicable regulatory documents for research communities. Submits protocol
-
, and approved protocols. Assists with training staff. Ensures adherence to protocols and corrects issues with data collection. Essential Functions - Wet lab bench work including but not limited to RT
-
on the school's primary phone line, conveying requested information in a friendly and courteous manner, obtaining necessary information from patient to schedule initial screening appointments, and transferring
-
approaches to multi-omic datasets in the context of senescence in conjunction with the Koenigshoff lab, and ii) enhancing SLIDE with biological priors and applying it to metabolomic data. Physical Effort