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source, creating the potential for broad scientific and real-world impact. This full-time position, based in Ann Arbor, MI, will lead software design, development, and testing primarily in Python, with
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learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude
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Java, Python, and JavaScript, as well as modern application frameworks such as Node.js and Spring. Experience with RESTful API design and integration, including familiarity with Model Context Protocol
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datasets • Contribute to data processing and analysis (R/Python; training provided as needed) Research Operations • Maintain study documentation and regulatory materials • Participate in lab meetings and
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state of the art AI and analytic tools (e.g., Go, Python, Rust, Spark, PyTorch, TensorFlow) to create consistent and reliable software. You will utilize tools and methods such as continuous integration
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: Build reproducible workflows, functions, and R or Python packages; develop visualization tools and open-source applications; and share code through collaborative platforms such as GitHub. Scientific
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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of Miami. Other potential undergraduate classes include Introduction to Python Programming - a requirement for the Rosenstiel BS - and Climate Change, a general education course. We are also considering
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analysis. · Advanced programming and workflow development skills in Python, R, Bash, and related computational tools for large-scale data analysis and reproducible research. · Experience with
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doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with