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or data analysis Training & experience in econometrics and causal inference methods, particularly in the context of randomized controlled trials (RCTs) Proficiency in R, Python, Stata, or similar tools
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modern machine 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
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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and experience building and maintaining research code
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. Experience using Python in a professional setting. Experience using data visualization tools (i.e. Tableau, Power BI or similar) Highly proficient in MS Office software with advanced knowledge of Excel. Strong
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: R2 Level: - A minimum of 5 years experience administering Ubuntu Linux, configuring Various SQL unstructured and vector databases, and with the Python programming language - Experience with Docker and
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analytic workflows on an active NIH-funded research grant. Applicants should have a bachelor’s degree in an analytic field (data science, AI, or bioinformatics) and demonstrate familiarity with R and Python
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command line Experience programming in Python, Matlab, or R Experience with ML frameworks such as PyTorch or with LLM APIs Understanding of ML fundamentals including regression, classification, neural
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and/or python for basic data management and analysis is a plus. Position Details Additional Information Posting Category Research - Non Academic Working Title Research Technologist II Job Title Research
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teach lab members as appropriate, including manuscript review, technical and research idea support. Design and implement code in C++, Python and bash for automation and new software packages that support