ML Scientist I/II, Nucleic Acid Design
Core
Develop ML models and design strategies for RNA and DNA sequence engineering, including regulatory element design, sequence optimization, and generative modeling to connect sequence design to biological function.
Role type
Senior IC machine learning scientist (nucleic acid design)
Builds
Production ML models for de novo sequence generation, property prediction, and active learning strategies integrated into an autonomous science platform.
Domain
Biotechnology / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, sequence modeling, generative modeling, active learning, PyTorch, JAX, biological mechanism reasoning, experimental design collaboration
Preferred skills
Regulatory element design, sequence-to-expression modeling, RNA secondary structure modeling, high-throughput experimental data analysis, therapeutic context experience
Technologies
PyTorch, JAX
Responsibilities
Build ML models for RNA and DNA sequence design across regulatory and coding contexts; Develop methods for de novo generation and diverse set selection; Investigate biological mechanisms of designed sequences; Partner with experimental scientists to propose assays and validation strategies; Collaborate on integrating models into agent-driven frameworks; Share research findings externally.
Seniority
Senior, hands-on IC