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, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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shaping the future of computational education at Duke. Minimum Requirements 2–4 years of professional software development experience. Proficiency in Python 3.10+ and async/await patterns. Experience with
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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reporting and data insights Desirable: Experience with HR or workforce data Experience in a large or complex organisation, ideally within higher education Exposure to tools such as Python or R Role
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python
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Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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. Preferred Qualifications Bachelor?s degree in Physics. Other Requirements Experience with Python, C++ and Root. Excellent written, verbal, and interpersonal communication skills. Ability to maintain high
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designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation