Build infrastructure connecting AI agents to public biomedical databases and enable tool selection
Design and prototype agentic workflows chaining data retrieval, analysis, and reasoning
Explore tool discovery and workflow composition to improve platform usefulness
Document architecture decisions and methodology; present to the research team

🎯 Requirements

Graduate student in Computational Biology, Bioinformatics, CS, or related field
Strong Python programming
Familiarity with LLMs and agentic AI patterns (tool-use, function calling, multi-step reasoning)
Experience with APIs (REST or GraphQL) and data pipelines
Biological context to understand drug target identification and translational biology
Strong analytical and problem-solving skills

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