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, are preferred. 2. Experience with network scripting and automation tools such as Ansible and Python preferred. 3. Requires a valid North Carolina driver's license. 4. Requires the ability to lift up
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, and code libraries to streamline clinical data workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations
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demonstrated proficiency in statistical software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent organizational, communication, and
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, Economics, Statistics, Computer Science, Engineering, or Mathematics. A demonstrated passion for investing and a strong desire to learn about financial markets. Strong proficiency in R or Python for data
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with the molecular biology techniques for extraction, isolation, and analysis of DNA/RNA would be a strong differential. Coding experience is preferred (e.g. R, Julia, Python, Mathematica). Duke is an
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to present results periodically at group lab meetings. Knowledge of Solidworks or other CAD software, Matlab, Python or C++ would be beneficial. Duke is an Equal Opportunity Employer committed to providing
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, including in Python, with good coding habits; experience in NEURON, COMSOL, other finite element modeling software, and / or git would be an asset; experience in optimization algorithms would be an asset
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processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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or programming (e.g., Python or R) is a plus, as is prior experience in a core facility or industrial R&D environment. This role provides the opportunity to work at the cutting edge of synthetic biology and