370 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Pittsburgh
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on department committees. Candidates should submit: a letter of application containing a description of academic background, teaching philosophy, current curriculum vitae, names and contact information for three
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recent refereed journal publication, and contact information for three professional references. Review of applications will begin on February 15, 2026, and will continue until the position is filled
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(domestic and international), PITT and UPMC professionals and staff. The incumbent: Must always display a professional demeanor. Must keep current on University systems and rules. Must have strong computer
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experiments. Analyzes and interprets data, compiles results, and prepares reports. Maintains inventory, ordering, and logs. Writes manuscripts and grant proposals and prepares data visualizations. Essential
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confidence to University of Pittsburgh Talent Center requisition number 25005095 (www.join.pitt.edu) Please contact the following individual ONLY for more information: Nidhi Aggarwal, MD, Director, Division
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solutions for optimized effectiveness. • Gathers data, analyzes trends, and develops and presents reports regarding compensation deliverables. Deploys analytics to assist the University in making informed
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spreadsheet platforms Job Summary: · Performs a variety of laboratory work and experiments in an independent manner. · Prepares reports of findings after data compilation and analyses. · Keeps clear
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to detail; keep and maintain accurate and detailed reports and records; work with sensitive information, maintain confidentiality and use discretion. Department Details (Continued) High School Diploma/GED and
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Functions Use of phone and computer, verbal, and written communications. Ability to attend meetings virtually and/or in person on/off campus. Ability to sit/stand at a computer for a full workday. Physical
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bioinformatics analyses of existing RNA sequencing datasets, bench-based experiments using animal models, primary cells, and human tissue. Physical Effort Must be able to sit, stand, and use a computer for