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Ginkgo Bioworks

Platform for cell programming and engineering

Automation Scientist Intern - RAC Operations

Translational Research & Bench BiologyUpdated on Nov 12
InternshipBoston, MA, USA$37.7k - $53.5k

About the Job

Requirements

  • A recent graduate with a Bachelor’s or Master’s degree, or an expected graduation date in 2026 or the first half of 2027, in Computer Science, Bioengineering, Computational Biology, or Bioinformatics; candidates with Chemical, Mechanical, or Electrical Engineering backgrounds and computational skills are also welcome.
  • A strong interest in learning biology and working with lab automation and robotic systems.
  • Willingness to ensure existing and new scientific workflows run successfully on the RAC automation system.

Responsibilities

  • Learn to operate and maintain Reconfigurable Automation Carts supporting molecular and cell biology workflows.
  • Queue and submit programmatically generated protocols, monitor protocol-run execution, and retrieve and analyze run data.
  • Progress to modifying or writing protocols for the autonomous lab.
  • Prepare and onboard reagents and consumables for scientific workflows, execute the workflows, and take down and offboard used plates after completion.
  • Learn rigorous experimental design, execution, and data analysis, and optimize scientific workflows for RAC automation.

Desired Qualifications

  • Interest in communications, marketing, social media, or short-form video.

About the Company

Ginkgo Bioworks

Platform for cell programming and engineering

Ginkgo Bioworks provides a platform to design, build, and test engineered cells for food, agriculture, pharma, and chemicals using automation and data. Its Foundry automates lab work with robotics and software to execute the Design-Build-Test-Learn loop, while the Codebase is a library of genetic parts and experimental data that guides new projects. The company differentiates itself with an integrated, scalable platform that combines automated wet-lab workflow, a large asset and data library, and AI-enabled design, plus deep partnerships across industries. Its goal is to make biology easier to engineer and speed up the development of biological products through end-to-end tooling and collaborative, data-driven workflows.

Company size
201-500
Company stage
IPO
Headquarters
Boston, MA
Founded
2009

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