ML Scientist, Nucleic Acid Design

Highlights

• Advance RNA and DNA sequence design across UTR, CDS, and promoter contexts.
• Build next-gen models linking nucleic acid sequence to biological function.
• Drive active learning loops from de novo generation to experimental validation.

What they offer

• Competitive base compensation with bonus potential and early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company holidays and paid parental leave
• Educational assistance program and commuter benefits

Ideal candidate

ML scientist curious about RNA biology and regulatory genomics who enjoys team-based science and turning mechanistic insights into better sequence-to-function models and design principles.

Requirements

• PhD or equivalent experience in machine learning, computational biology, bioengineering, computer science, statistics or related quantitative field
• Hands-on experience building, training and evaluating ML models for DNA or RNA
• Strong foundation in modern ML methods with practical experience using PyTorch, JAX or equivalent tools
• Experience with sequence design, sequence-function prediction, generative modeling or active learning
• Ability to reason about complex biological systems and scope ambiguous scientific problems
• Curiosity about nucleic acid biology including RNA biology and regulatory genomics
• Strong communication and collaboration skills with preference for team-based science