234 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at University of Pittsburgh
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identify opportunities to improve data quality and accelerate development cycles. 3-5 years of developing and using SQL queries in a professional environment preferred Masters in Computer Science, Statistics
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-award activities across multiple divisions in an academic and clinical department. Responsibilities include: - reviewing and preparing research proposals - review of agency guidelines, development
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guidelines, development of budgets, preparation of agency-specific forms, and processing of proposals through the Office of Research - providing analytical support in the review of grant and contract proposals
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office functions as well as specialized technical support for academic or administrative departments. Essential Functions Strategic Initiative Support: Assist in the development and execution of multiple
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& query optimization Strong experience with Tableau for dashboard & report development, including calculated fields, parameters & advanced visualizations Working knowledge of Python, R, or similar
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development around human resources issues such as supervising, conflict management, recruiting diverse employees and students, and staff satisfaction. Success in this area requires excellent people skills
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admissions, engaging in program development and revision, and meeting any PDE requirements (including accreditation). It is also expected that they contribute in other substantive ways to their department as
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administration; manages work schedules and approves timecards; provides professional development opportunities; distributes and reviews work. • Research contractors and vendors for bids; conducts bid openings in
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interdisciplinary collaborations across the University of Pittsburgh and external partners, and contributing to the development of innovative interventions and health system strategies. In addition, the Research
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organization. We support the Pitt Athletics Department through best-in-class data, analytics, and research & development — building and applying advanced technologies that drive revenue growth, competitive