Foundation Models Scientist — Life Sciences AI

Lila Sciences; San Francisco (CA); On-site; USD 176,000 - 304,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid parental leave

Flexible time off

Company subsidized lunch program

Job summary

Lila Sciences in San Francisco is seeking an ML Scientist I/II to join their Foundation Models team, contributing to generative model research in life sciences. The ideal candidate will hold a PhD in a relevant field, with expertise in machine learning frameworks like PyTorch and a strong understanding of generative models. This position involves close collaboration with experimental scientists to apply AI solutions to biology and enhance model performance through real-world applications. Full-time benefits include competitive compensation, medical coverage, and flexible time off.

Qualifications

• PhD or Master's in a related quantitative field with equivalent research experience.
• Strong foundation in generative model architectures and training.
• Experience in formulating and executing independent research.
• Familiarity with molecular biology, genomics, or related life sciences.
• Experience with biological or chemical data.

Responsibilities

• Contribute to research on foundation models for life science applications.
• Design, train, and evaluate generative models on biological data.
• Translate biological questions into well-defined ML problems.
• Collaborate with experimental scientists in the closed-loop process.
• Support research quality standards within the foundation models program.

Skills

Generative model architectures

Machine learning frameworks (PyTorch, JAX, TensorFlow)

Ability to formulate independent research

Familiarity with life science domain

Collaboration with experimental scientists

Education

PhD in Computer Science, Machine Learning, Computational Biology

Tools

PyTorch

JAX

TensorFlow

Job description

Lila Sciences in San Francisco is seeking an ML Scientist I/II to join their Foundation Models team, contributing to generative model research in life sciences. The ideal candidate will hold a PhD in a relevant field, with expertise in machine learning frameworks like PyTorch and a strong understanding of generative models. This position involves close collaboration with experimental scientists to apply AI solutions to biology and enhance model performance through real-world applications. Full-time benefits include competitive compensation, medical coverage, and flexible time off.