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Involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data.
Utilizes and develops algorithms, computational techniques, and statistical methodologies.
Helps in the design of new experiments.
Implements end-user needs in database searching and integration.
Assists with maintaining the computational infrastructure, local databases, and tracks the flow of samples and information for large-scale studies.
Develops analysis tools for use by lab personnel and for public dissemination.
Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs.
Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
Operates independently.
Demonstrates proficiency with modern AI coding frameworks, for example, Claude, Codex, Cursor, etc., as well as traditional SQL and Python coding.
Demonstrates proficiency with modern machine learning toolkits and approaches for classification tasks using large scale datasets, including transcriptomics, and proteomics, demonstrated proficiency using, evaluating, and optimizing protein modeling and folding approaches, including Rosetta, AlphaFold3, and others.
Demonstrated track record of scholarly excellence.
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