LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
Lila Sciences is seeking an ML Scientist I/II, Nucleic Acid Design to advance RNA and DNA sequence design. This scientist will develop models and design strategies for understanding and engineering nucleic acid sequences, including problems such as 3’ UTR optimization, 5’ UTR optimization, CDS optimization, and promoter / enhancer design.
What they're looking for
- PhD or equivalent experience in machine learning, computational biology, bioengineering, computer science, statistics, or a 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 frameworks such as PyTorch, JAX, or equivalent tools
- Experience developing models for sequence design, sequence-function prediction, generative modeling, or active learning
- Ability to reason about complex biological systems, scope ambiguous scientific problems, and formulate ML approaches that address difficult sequence-function challenges
- Curiosity about nucleic acid biology, including RNA biology, regulatory genomics, or related sequence-to-function problems
More about this role
Lila Sciences is seeking an ML Scientist I/II, Nucleic Acid Design to advance RNA and DNA sequence design. This scientist will develop models and design strategies for understanding and engineering nucleic acid sequences, including problems such as 3’ UTR optimization, 5’ UTR optimization, CDS optimization, and promoter / enhancer design.
You’ll work at the intersection of machine learning, sequence modeling, experimental design, and platform development. The work spans both applied design campaigns and building next-generation models that improve how Lila generates, evaluates, and learns from nucleic acid sequence-function data.
The ideal candidate brings strong ML judgment, curiosity about biological mechanisms, and enthusiasm for areas such as regulatory genomics, RNA biology, and sequence-to-function modeling. You’ll collaborate with experimental scientists, ML researchers, and platform teams to build models that connect nucleic acid sequence design to biological function and make these capabilities usable across Lila’s autonomous science platform.
- Build ML models for RNA and DNA sequence design across regulatory and coding sequence contexts.
- Develop methods spanning de...
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