Protein Engineering ML Scientist - Generative Design

Lila Sciences; San Francisco (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

Lila Sciences in San Francisco is seeking an ML Scientist Co‑Op to contribute to protein engineering research, including generative protein design, antibody engineering, and more.

This role involves collaboration on machine learning projects that blend AI with biological research, offering hands-on experience in a dynamic scientific environment.

The ideal candidate will be a PhD student in a relevant field with strong machine learning and programming skills in Python.

Qualifications

• PhD in Computer Science, Machine Learning, or related field required.
• Experience in machine learning, computational biology, or protein engineering preferred.
• Strong programming skills in Python are a must.

Responsibilities

• Contribute to ML research projects on protein engineering.
• Translate biological design goals into computational problems.
• Analyze datasets to guide design decisions.

Skills

Machine learning

Python programming

Protein engineering

Computational biology

Strong communication skills

Education

Currently enrolled as a PhD student

Tools

PyTorch

JAX

Job description

Lila Sciences in San Francisco is seeking an ML Scientist Co‑Op to contribute to protein engineering research, including generative protein design, antibody engineering, and more.

This role involves collaboration on machine learning projects that blend AI with biological research, offering hands-on experience in a dynamic scientific environment.

The ideal candidate will be a PhD student in a relevant field with strong machine learning and programming skills in Python.