Software Graduate Intern, Autonomous Lab

The role

You will help build the digital brain of a Total Autonomous Lab. You will work with Catalyst software to control robotic fleets and develop AI interfaces for scientific experiments.

What you will do

• Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Assist in the development of Catalyst Agent, an LLM-based interface.
• Work on data pipelines that harvest, structure, and upload experimental data from RACs into a data lake.
• Help integrate new hardware instruments into the Catalyst ecosystem by writing drivers.

Required qualifications

• Recent graduate (BS/MS) or current student in Computer Science, Bioengineering, or a related STEM field.
• Strong proficiency in Python

Nice to have

• experience with hardware control or APIs
• Enthusiasm for Lab-in-the-Loop technologies where AI models drive physical experimentation
• Interest in biological data standards and laboratory automation

Benefits

• medical, dental & vision coverage
• health spending accounts
• voluntary benefits
• leave of absence policies
• 8 paid holidays
• full-week winter shutdown
• unlimited Paid Time Off policy

About the company

Ginkgo is constructing, editing, and redesigning the living world to answer challenges in health, energy, food, materials, and more. Their bioengineers use an in-house automated foundry for designing and building new organisms.