61 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at University of Texas at Austin
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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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, 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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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
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the coordinators with logistical tasks throughout the week. Responsibilities Assist the coordinator in monitoring student behavior and enforcing the code of conduct in a fair and consistent manner; encouraging
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building infrastructure as code using tools like CloudFormation, Azure Resource Manager, Terraform, or similar Microsoft Intune/Azure AD management experience. Strong scripting skills and familiarity with
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in social work, psychology, education, or a related field. Knowledge of managed care, medical terminology, patient referral processes, claims, and CPT coding. Experience working with pediatric
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referral processes, claims, CPT coding, and educational practices supporting mental health and social emotional learning. Experience working with pediatric behavioral and mental health patient populations in
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Assist the coordinator in monitoring student behavior and enforcing the code of conduct in a fair and consistent manner; encouraging respectful participation and engagement in all activities of the academy
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis