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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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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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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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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
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and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms, early vertebrate development, skeletal physiology and genetics, associated structural birth
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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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network models on computing clusters Knowledge, Skills and Abilities: Demonstrated fluency in Python, and willingness to keep up with new machine learning libraries (pytorch, lightning, …) Knowledge
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processes) to enable large-scale data processing and integrate the developed tools with toolkits to process genomic data. Write and apply customized scripts (e.g., shell scripts, Python algorithms) to support
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querying data with SQL or another programming language (e.g., R, SAS, Python, etc.). At least two years of project management experience. At least two years of people management and supervision experience