361 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Pittsburgh
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the Bioinformatics Shared Resource at UPMC Hillman Cancer Center. The Bioinformatics Research Specialist will work as a data scientist/health informaticist/bioinformatician who will lead analyses of multi-dimensional
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chemistry and greenhouse gas analytical systems (25%), build data management infrastructure, including LIMS implementation (15%), publish synthesis papers integrating findings across network projects (15
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across multiple teams and projects and is responsible for managing day-to-day office operations, client intake and communications, data integrity, and program coordination. Administrative, Data Integrity
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participate in the design of research studies. 3. Compile and analyze research data using various relevant computer software applications. 4. Assist with literature research, editing and preparing manuscripts
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projects and the C4 Center more generally. The Research Assistant will support day-to-day operations of multiple projects including assisting with data collection and data entry, paying research participants
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Review Board (IRB) renewal, modification, and approved protocols. Assists with training staff. Ensures adherence to protocols and corrects issues with data collection. Essential Functions • Conducts
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will include, but are not limited to, conducting independent studies; analyzing, preparing, and presenting data; performing advanced virology, microbiology, and molecular biology techniques; maintaining
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not limited to screening, recruitment, scheduling, conducting study visits, collecting data and data entry. The candidate will be supported by dedicated regulatory staff to assure IRB and fiscal
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. The incumbent will follow established protocols, troubleshoot protocols as necessary, and collect and analyze data. Much of the work will be conducted at either BioSafety Level-2 or at BioSafety Level-3 in
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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