Summer 2026 - Informatics and Predictive Sciences Internship

Role Summary

We are seeking a highly motivated and curious student to join the Informatics & Predictive Sciences group for a 10-week paid summer internship. This opportunity is ideal for candidates eager to work at the intersection of artificial intelligence (AI) and functional genomics in a dynamic, translational research environment. The intern will contribute to building AI-driven solutions that accelerate biological discovery and therapeutic innovation, leveraging large language models and agentic architectures.

Responsibilities

• Curate and index processed genomic datasets (e.g., gene expression tables, chromatin binding signals, genome-wide CRISPR hits) to make them compatible with LLM-based learning and querying.
• Design and implement agentic frameworks to streamline biological insight extraction and interpretation.
• Develop interactive web-based tools (e.g., local servers, R Shiny apps) to support data visualization and cross-functional communication.
• Effectively communicate and present findings to multidisciplinary teams.

Qualifications

• Currently enrolled in a Ph.D program in computer sciences, physics, bioinformatics, computational biology or a related field.
• Experience in agentic frameworks (e.g. LangChain, LangGraph).
• Experience in developing LLM-powered tools (e.g. Chatbot, SQL agent, RAG) and/or deep learning (e.g. PyTorch, TensorFlow) is required.
• Experience in genomics data analyses is a plus but not required.
• Must be able to work full-time for the program duration.
• Excellent communication and presentation skills.
• Authorized to work in the US for the duration of the employment; visa sponsorship is not available for this position.

Education

• Ph.D. candidate in computer science, physics, bioinformatics, computational biology or a related field.