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/or medicine, especially neuroscience. Coursework in statistics, computational biology, data science, or AI in human health. Experience with R software and/or Graphpad Prism software. Experience with
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, or equivalent, in a wet lab setting Prior experience with common coding languages Previous experience with bioinformatics/statistics using R, Python, or related programming language, to develop pipelines
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safety, quality of care, and health system performance. Proficiency with Microsoft Office (Word, Excel, PowerPoint, Access, Outlook). Proficiency with R, SAS (Statistical Analysis System), Stata, or SPSS
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Primary Location : Hybrid Department: U0001 -- Anschutz Med Campus or Denver - 20884 - SOM-PM&R PHYSICAL THERAPY Schedule : Full-time Posting Date : Nov 10, 2025 Unposting Date : Ongoing Posting Contact
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. The Department of Physical Medicine & Rehabilitation (PM&R) programs span the range of services with the latest advances in rehabilitation care for children and adults with complex medical needs. Subspecialties
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. The department of Physical Medicine and Rehabilitation at the University of Colorado (CU PM&R) is at the forefront of using team science, regenerative medicine, and exercise treatments. It is uniquely situated in
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independent programming experience with R, particularly analysis with common healthcare outcome metrics such as kaplan-meier curves, hazard ratios, demographic statistic tables, and others. Experience using
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/SSIS, or other data warehouse tools. Experience in Python, R, or other statistical programming languages. Experience with healthcare productivity metrics (wRVUs, cFTEs) and coding standards (CPT, ICD
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), and treatment delivery. Core AI/ML methods (deep learning, radiomics, NLP, multimodal data). Clinical data formats and regulatory/ethical standards. Skills Programming (Python, R, others) and AI
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, Bioinformatics, Biostatistics, or related field. One (1) to two (2) years of experience analyzing data using high-performance computing. Experience with at least one programming language (e.g., Python, R). Prior