Application Guide

How to Apply for Software 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 design experiments that automated labs execute at massive scale. Working here means contributing to cutting-edge technology that bridges biology, automation, and artificial intelligence.

About This Role

This Software Intern role focuses on developing the Catalyst platform that enables autonomous laboratory operations. You'll be writing Python code to control lab hardware, building natural language interfaces for scientists, and creating data pipelines that feed experimental results to AI models. 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 a new experimental protocol, then debugging a data pipeline that's extracting results from plate readers. You could spend the afternoon collaborating with scientists to understand their needs for the Catalyst Agent interface, or working on integrating a new robotic arm into the Catalyst ecosystem.

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Interview Prep

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🎯 Who GinkGo Bioworks Is Looking For

  • A Python enthusiast who has built projects involving hardware control, APIs, or data pipelines (even if just personal projects)
  • Someone genuinely excited about the intersection of AI and physical experimentation, not just software development
  • A problem-solver who enjoys figuring out how to make different systems 'talk' to each other
  • A curious learner interested in both biological data standards and laboratory automation technologies

📝 Tips for Applying to GinkGo Bioworks

1

Showcase Python projects that demonstrate hardware control or API integration - even a Raspberry Pi project or IoT device control is relevant

2

Mention specific experience with data pipelines or ETL processes, as this is crucial for the lab data integration component

3

Research and reference Ginkgo's Catalyst platform and 'Lab-in-the-Loop' concept in your application materials

4

Highlight any experience with laboratory equipment or biological data, even if it's just academic exposure

5

Demonstrate enthusiasm for the specific technologies mentioned: Catalyst Client, Catalyst Agent, and data lakes for AI training

✉️ What to Emphasize in Your Cover Letter

['Specific examples of Python projects involving hardware control or API integration', "Your understanding of and excitement for 'Lab-in-the-Loop' technologies and autonomous experimentation", 'How your skills align with the four core responsibilities: protocols as code, AI scientist development, data integration, and device drivers', "Why you're drawn to Ginkgo's specific approach to synthetic biology and automation"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Ginkgo's Catalyst platform and their 'Lab-in-the-Loop' publications or presentations
  • → The company's recent projects in synthetic biology and how automation enables their work
  • → Biological data standards like FAIR principles that might be relevant to lab data integration
  • → Ginkgo's partnerships and how their technology is applied across different industries

💬 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
2 How would you approach writing a driver for a new laboratory instrument?
3 Explain your understanding of data pipelines and how they'd apply to experimental data
4 What excites you about the intersection of AI and physical lab automation?
5 How would you handle debugging when a liquid handler isn't responding to your Python code?
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⚠️ Common Mistakes to Avoid

  • Only discussing web development or mobile app experience without connecting it to hardware control or lab automation
  • Generic enthusiasm for 'tech' without specific interest in the biology-automation-AI intersection
  • Failing to demonstrate practical Python skills with concrete project examples
  • Not researching Ginkgo's specific technology stack and approach to synthetic biology

📅 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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