614 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Texas at Austin
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authorizations, schedules appointments, and maintains complete and accurate patient demographic and insurance information in the EHR. Acting as a liaison between patients, providers, and scheduling teams
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these measurements to test specific mechanistic questions. Perform solution NMR and cryo-EM work to map interaction surfaces and conformational changes, including sample preparation, data collection planning, and data
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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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, administration of assessments, budgeting, behavioral and neuroimaging tasks implementation, and data analysis and quality control. Responsibilities Study Coordination: -Identify, recruit, and consent research
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, programs, and UT’s largest institutional partners. Purpose The Employer Success Manager is responsible for expanding and strengthening UT Austin’s employer ecosystem through strategic partnerships, data
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, or others. 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees
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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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, configures, tests, and provides maintenance of clinical information systems with a focus in patient registration, patient scheduling, patient billing, and patient throughput. Serves as a liaison between
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information systems with a focus in patient registration, patient scheduling, patient billing, and patient throughput. Serves as a liaison between business operations and providers, internal
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degree in Computer Science, Computer Engineering, Electrical Engineering or other related discipline. At least three years of professional experience developing or testing software in a Linux environment