Application Guide

How to Apply for Software Graduate Intern, Autonomous Lab

at GinkGo Bioworks

🏢 About GinkGo Bioworks

Ginkgo Bioworks is a pioneering synthetic biology company that programs cells to create everything from sustainable materials to novel therapeutics. What makes them unique is their 'Lab-in-the-Loop' approach, where AI models directly drive physical experimentation in automated labs. Working here means contributing to cutting-edge technology that bridges biology, automation, and AI to solve real-world problems.

About This Role

This Software Graduate Intern role in the Autonomous Lab focuses on developing the infrastructure that enables AI-driven biological experimentation. You'll be building Python-based protocols to control lab hardware, developing LLM interfaces for scientists, and creating data pipelines that feed experimental results into AI training. This role is impactful because you're directly enabling scientists to run experiments faster and more efficiently through automation and AI integration.

💡 A Day in the Life

A typical day might involve writing Python code to control a liquid handler for an experiment protocol, then debugging a data pipeline that processes results from a plate reader. You could be collaborating with scientists to understand their workflow needs for the Catalyst Agent interface, or working on integrating a new robotic arm into the Catalyst ecosystem by developing its device driver.

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Interview Prep

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🎯 Who GinkGo Bioworks Is Looking For

  • A recent CS or Bioengineering graduate with strong Python skills who has experience with APIs or hardware control (even through academic projects)
  • Someone genuinely excited about the intersection of AI and physical experimentation, who can articulate why 'Lab-in-the-Loop' technologies matter
  • A candidate with demonstrated interest in laboratory automation, whether through coursework, projects, or previous experience with biological data standards
  • A problem-solver who enjoys both software development and understanding how it interfaces with physical systems in a lab environment

📝 Tips for Applying to GinkGo Bioworks

1

Highlight any Python projects where you've interfaced with hardware or APIs - even if it's a Raspberry Pi project or academic lab equipment control

2

Demonstrate your understanding of 'Protocols as Code' by describing how you've approached automating processes in previous work or projects

3

Research and mention specific Ginkgo platforms like Catalyst Client or Catalyst Agent in your application to show genuine interest

4

If you have any experience with biological data (FASTQ, sequencing data, lab equipment outputs), highlight this even if it's from coursework

5

Show enthusiasm for the specific combination of AI + biology + automation in your application materials - don't just say you're interested in 'tech'

✉️ What to Emphasize in Your Cover Letter

['Your specific experience with Python for hardware control or API integration (provide concrete examples)', "Why you're excited about Ginkgo's 'Lab-in-the-Loop' approach specifically, not just automation in general", 'Any experience or coursework related to biological data standards or laboratory workflows', 'How your background in CS/Bioengineering prepares you to bridge software development with laboratory science']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Watch Ginkgo's videos or read articles about their 'Lab-in-the-Loop' and Autonomous Lab initiatives to understand their specific approach
  • → Research Catalyst Platform components - understand what Catalyst Client and Catalyst Agent do in their ecosystem
  • → Look into Ginkgo's recent projects and partnerships to understand what biological problems they're solving
  • → Understand the concept of 'Protocols as Code' in scientific automation and how it differs from traditional lab notebooks

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through a Python project where you controlled hardware or integrated with APIs - expect technical questions about your implementation
2 How would you approach writing a driver for a new lab instrument? What considerations would you have?
3 Discuss your understanding of 'Protocols as Code' and how it benefits scientific experimentation
4 How would you design a data pipeline to automatically process experimental data from various lab instruments?
5 What excites you about Catalyst Agent (the LLM interface) and how do you see it transforming scientific work?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Applying with generic software intern experience without connecting it to Ginkgo's specific focus on biology + automation
  • Not being able to discuss why you're interested in this specific role versus any other software internship
  • Failing to demonstrate any understanding of how software interfaces with physical systems or laboratory environments

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to GinkGo Bioworks!

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