PhD Resident - AI Lab Automation; Early Stage Biology Project

2 0 2 6 P h D R e s i d e n t - A I f o r L a b A u t o m a t i o n ( E a r l y S t a g e B i o l o g y P r o j e c t )

Internship Mountain View, CA

About us:

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About the team:

The Bio Design Kitchen (BioDK) is X’s state‑of‑the‑art biology and chemistry lab that empowers Xers to tackle unique challenges to launch moonshots in biology and chemistry. Our team of resident scientists and engineers are experts at turning concepts into reality, whether it’s rapid prototyping, in‑house development, or brainstorming novel solutions.

About the role:

We are looking for an exceptional PhD student who has experience in applied ML and a high‑level proficiency in programming to join our team for ∼6 months. The ideal candidate will also have hands‑on wet lab experience in biology. You will be helping us develop and test models to control and orchestrate automated laboratory experiments. You should be familiar with concepts in LLMs and how they are applied for scientific applications.

Experience with hacking scientific equipment or communication protocols is a plus.

You will be a part of X’s Design Kitchen, a world‑class team of builders and dreamers, and work closely with other groups involving the frontiers of machine learning. If you are motivated by making the world a radically better place through computation and biology, and want to be part of an inclusive team with diverse mindsets and backgrounds that makes this happen - then this might just be the role for you.

How you will make 10x impact:

• Develop and maintain Python codebase for automating laboratory tasks such as liquid handling, automated measurements, data processing, and communications.
• Develop methods applying LLMs and agents to laboratory operations.
• Able to iterate quickly and learn on the job.
• Contribute to experimental design and implementation.
• Work cross‑functionally with experts in multiple disciplines at X and Google.
• Must be willing to work onsite five days a week.
• Comfortable navigating ambiguity.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world.

Location:

X’s headquarters in Mountain View, CA

Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability.

Throughout your AI Residency you can expect:

• To be embedded into one of our confidential or public X projects.
• To get paid competitively and receive benefits.
• To be a part of a lively community of AI and ML Residents.
• To attend tech‑talks with AI leaders from across X.

What you should have:

• Currently enrolled in a doctoral (PhD) program at the intersection of AI and science.
• Proficient in Python programming and using CI/CD workflows.
• Knowledge of research biology laboratory practice.
• You have the potential to be an exceptional team member, and have relevant skills to contribute to an early‑stage machine learning‑guided protein design moonshot. If you’re creative, collaborative, committed to our mission and think you can help us, let us know! The work will be challenging and requires navigating shifting landscapes, but gives the opportunity to truly shape a potential Alphabet‑sized effort.
• You are mission driven
  . You enjoy solving real, large problems that profoundly affect hundreds of millions of people.
• Audacity, bravery and resiliency are values you embody
  . You shoot for the moon. You work on the hardest things first. You don’t expect things to succeed on the first try, you design thoughtful experiments and iterate.
• You are biased to action and will “roll up your sleeves” to do whatever needs done for the team to succeed.
• You are confident enough to challenge us and humble enough to challenge yourself. You are open to feeling uncomfortable and actively work on your own growth.
• You believe…