ML Nucleic Acid Design Co-op — RNA/DNA Sequence Modeling

Lila Sciences, Inc.; San Francisco (CA); Presencial; USD 34 000 - 55 000; Tempo integral

Resumo da oferta

Lila Sciences is seeking a motivated MS/PhD candidate to join the Nucleic Acid Design team for a 6-month co-op in San Francisco. You will lead a research project on RNA/DNA sequence design, building ML models and exploring generative approaches to predict sequence-function relationships.

You will work at the intersection of machine learning and biology, collaborating with experimental scientists to connect models to real data, and presenting findings for potential publications or talks.

Qualificações

• Currently enrolled in an MS or PhD program in machine learning, computational biology, bioengineering, computer science, statistics or a related quantitative field.
• Hands-on experience building and training ML models, with strong Python skills and experience with PyTorch, JAX or a 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.

Responsabilidades

• Lead a scoped research project in nucleic acid sequence modeling or design.
• Build ML models on RNA and DNA sequence-function data, including prototyping new methods for property prediction, generative design or candidate selection.
• Investigate model behavior and propose biological hypotheses about why sequences succeed or fail.
• Explore how large reasoning models can drive scientific discovery and sequence design, for example by generating hypotheses, reasoning over experimental results or guiding design choices.
• Collaborate with experimental scientists to understand assays and to propose experiments that test new ideas.
• Present findings to the team and contribute to research write-ups, and where possible to external publications or presentations.

Conhecimentos

Python

ML models

Machine learning

Sequence data analysis

English communication

Formação académica

MS/PhD student in ML/Computational Biology/CS

Ferramentas

PyTorch

JAX

Descrição da oferta de emprego

Lila Sciences is seeking a motivated MS/PhD candidate to join the Nucleic Acid Design team for a 6-month co-op in San Francisco. You will lead a research project on RNA/DNA sequence design, building ML models and exploring generative approaches to predict sequence-function relationships.

You will work at the intersection of machine learning and biology, collaborating with experimental scientists to connect models to real data, and presenting findings for potential publications or talks.