Co-Op, AI Nucleic Acid Design

Highlights

• Lead a research project on RNA and DNA sequence modeling and design.
• Explore UTR and regulatory element design for nucleic acids.
• Use large reasoning models to guide scientific discovery and design.

Ideal candidate

Curious MS or PhD student excited by open-ended research at the ML-biology interface and connecting models to real experimental data.

Requirements

• Currently enrolled in an MS or PhD program in machine learning, computational biology, bioengineering, computer science, statistics or related quantitative field
• Hands-on experience building and training ML models with strong Python skills and PyTorch, JAX or similar framework
• Coursework or research experience with biological sequence data (DNA or RNA)
• Curiosity about nucleic acid biology, such as RNA biology, gene regulation or sequence-to-function relationships
• Available for a full-time, 6-month co-op term onsite in San Francisco