Software Intern, Autonomous Lab

• Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Build the AI Scientist: Assist in the development of Catalyst Agent, our LLM-based interface that allows scientists to launch experiments using natural language.
• Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training.
• Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools.

• No college degree necessary but some skills in coding or related areas required.
• Strong proficiency in Python; experience with hardware control or APIs is a plus.
• Enthusiasm for "Lab-in-the-Loop" technologies where AI models drive physical experimentation.
• Interest in biological data standards and laboratory automation.

The base salary range for this role is $37,700-$53,500.

Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

*It is expected that all Internships are onsite five days a week.

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Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.