527 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Texas at Austin
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for accurate and timely care coordination. The HAP is also responsible for handling specialty referrals, managing data entry, and engaging with patients through multi-channel communications. The ideal candidate
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employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other
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the selection and training of the Student Conduct Board members. Participates in regular data analytics review to guide assessment efforts, case management, programmatic development, and campus stakeholder
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, and users for recipe development, experimental design, data analysis, user training, and equipment diagnostics. Responsibilities Tool Performance, Reliability, and Sustainment Maintain and optimize
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patient information are accurately recorded and communicated to the surgical team. The Surgery Scheduler works closely with surgeons, nurses, anesthesiologists, and administrative staff to optimize
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. Provides feedback to students as needed, including using data to observe student engagement and processing instances of academic integrity. Ensures the grading mechanism approved by the Instructor of Record
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leadership. Prepares agendas and materials, attends meetings, takes minutes, and tracks action items to completion. Conducts research and compiles data to support decision-making (e.g., candidate summaries
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excellence recognition programs such as Magnet®. This role also oversees nursing peer review processes and ensures compliance with professional and regulatory standards. Through collaboration, data-driven
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and implementation thoroughly and clearly and document and address issues. Other related functions as assigned. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering or
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Qualifications Experience with field experiments, applied microeconomics (education, housing, labor), administrative data, or AI/machine learning applications in social science research. Salary Range $75,000