54 coding-"https:"-"FEMTO-ST"-"PDI-Service"-"U"-"L2CM"-"Inserm"-"https:" positions at University of Texas at Austin in United States
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Job Posting Title: Provider Coding Education Specialist ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Non-Exempt
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mathematical modeling, and acoustical modeling and simulation. Prototype scientific algorithms for proof of concept, validation, and software implementation. Support performance evaluation and coding
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science coding languages (e.g., R, Python, MATLAB). Salary Range $42,000 + depending on qualifications Working Conditions May work around standard office conditions Repetitive use of a keyboard at a
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. Preferred Qualifications Experience with Define departmental coding and reporting. Experience with PointPlus and familiarity with University Purchasing policies and processes. Demonstrated ability to take
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experience in medical billing or insurance authorization. Certification in medical billing and coding (e.g., CPC, CPB) Prior Authorization Certified Specialist (PACS) certification. Salary Range $45,000
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skills, create impactful solutions that directly enhance the educational experience for thousands of learners. Responsibilities Writes custom code, configures software, and builds integrations; designs
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Software Project Management, including code reviews, code profiling, SCRUM master, and improving draft code towards production code Integration and education on modern practices with machine learning and AI
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, codes, supporting documentation, and finalization of UEE events. Prepare, complete, monitor, and archive all University-mandated documentation pertinent to each event. Collaborate with finance team
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endowment sheets for faculty and department. Ensure departmental guides containing accounts and codes are maintained for tracking expenditures. In partnership with chair of Ophthalmology, develop and manage
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dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology, strong coding skills