Senior ML Scientist for Protein Design & Lab-in-Loop

Generate:Biomedicines; Somerville (MA); Hybrid; USD 192,000 - 265,000; Full time

Job summary

Generate:Biomedicines seeks a machine learning scientist to lead the development of lab‑in‑the‑loop design systems for therapeutic proteins. You will focus on probabilistic ML, sequential decision making, and experimental design, partnering with protein designers and wet‑lab teams to deliver measurable impact.

The role blends research and production within a highly collaborative environment at our Somerville, MA office, with hybrid flexibility and ownership across the ML platform.

Qualifications

• PhD in a quantitative field with strong ML background.
• Experience in probabilistic ML and experimental design.
• Ability to translate ML ideas into production systems.

Responsibilities

• Develop ML methods and systems for protein design optimization.
• Shape data-generation strategies for informative campaigns.
• Design, implement, and maintain production-quality ML models and data workflows.
• Collaborate with scientists and engineers to build scalable platform capabilities.
• Bridge ML, engineering, and experimental teams to raise technical standards.

Skills

Probabilistic ML

Bayesian optimization

Active learning

Sequential decision-making

Python

PyTorch

JAX

Education

PhD in ML/Computational biology/CS

Tools

PyTorch

JAX

Job description

Generate:Biomedicines seeks a machine learning scientist to lead the development of lab‑in‑the‑loop design systems for therapeutic proteins. You will focus on probabilistic ML, sequential decision making, and experimental design, partnering with protein designers and wet‑lab teams to deliver measurable impact.

The role blends research and production within a highly collaborative environment at our Somerville, MA office, with hybrid flexibility and ownership across the ML platform.