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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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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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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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(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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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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) 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
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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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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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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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concepts, including neural networks, natural language processing, and computer vision. Strong programming skills in languages such as Python, Java, or C++. Experience with machine learning frameworks and