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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
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data. Special Skills: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e.g. R/Bioconductor/Tidyverse, Python, Perl). Special Skills: Strong
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Science, or related field from an accredited institution. Two (2) years of experience analyzing data using high-performance computing. Two (2) or more years of experience with R and/or Python packages. Two (2) or more
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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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levels depending on their qualifications. Key Responsibilities: Conduct deep and thorough review of subject literature. Import datasets into a variety of software applications including R, SAS, and python
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debugging both C++ and Python for medium-scale applications (larger than 75,000 lines of code). Applicants that reach the interview stage will be required to walk through one contribution in each language
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, Python, and/or R. Experience in finance, revenue cycle management, clinical operations, and human resources practices at CU Anschutz or its affiliates. Experience in academic medicine or healthcare
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(5) or more years of professional level experience as a data analyst, business intelligence developer, or data engineer. Five (5) or more years of extensive experience programming in R, Python, or .NET
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) Knowledge of job scheduling tools, dependency logic and stored procedures Proficient in SQL/PL SQL Query language as well as other data related languages (e.g. Python, R) Familiarity with BI systems