ML Research Intern (Summer 2026) – PhD… at Genesis… · San Diego

Summary: Genesis Molecular AI is at the forefront of integrating AI with biomedicine, and they are seeking a summer intern to join their Computational Biology team. The intern will help design and build a research infrastructure that utilizes agentic AI to unify biomedical data sources, ultimately contributing to advancements in drug discovery. Responsibilities: - Help build infrastructure that connects AI agents to public biomedical databases (e.g., Open Targets, UniProt, DepMap, PubChem, GWAS Catalog, etc) and enables intelligent tool selection and use - Design and prototype agentic workflows that chain data retrieval, analysis, and reasoning across heterogeneous sources to answer real drug discovery questions - Explore approaches for tool discovery, workflow composition, and validation that make the platform increasingly useful over time - Document architecture decisions and methodology; present your work to the research team Required Qualifications: - Currently enrolled in a graduate program in Computational Biology, Bioinformatics, Computer Science, or related field - A strong Python programmer - Familiarity with LLMs and an interest in agentic AI patterns (tool-use, function calling, multi-step reasoning) - Experience working with APIs (REST or GraphQL) and building structured data pipelines - Enough biological context to understand the scientific underpinnings of drug target identification and translational biology - Strong analytical and problem-solving skills Preferred Qualifications: - Scientific tool orchestration frameworks or custom agentic pipelines - MCP (Model Context Protocol) or similar tool-serving frameworks - Graph databases and knowledge graph construction - Graph neural networks, knowledge graph embeddings, or graph reasoning techniques - Working with large-scale public genomics platforms (DepMap, TCGA, CCLE, Open Targets, GWAS Catalog, etc) - Open-source software development practices (version control, testing, documentation) Required Skills: Python, APIs REST, APIs GraphQL, Biological context Important Skills: LLMs familiarity, Analytical skills Nice-to-Have Skills: Scientific tool orchestration, Graph databases, Open-source software practices Internship Start Date: Start in 2026 Summer