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Antibody Engineering

Open 61d

About Chai Discovery

Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.

AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis are rapidly adopting our platform to power their drug discovery programs.

Our mission is to accelerate progress towards new cures and better science, and there are countless interesting problems on the road ahead.

About the role

We are looking for exceptional antibody engineers and computational protein designers to help us evaluate, expand and apply the capabilities of our de novo antibody design models. You'll join an elite team of biologists, computational scientists and AI researchers.

Scientists at Chai are power users and test pilots of our AI platform. We probe the design space for novel targets and formats, validate in silico solutions for function in the lab, and distill empirical rules from the results. We execute experimental programs at scale that guide, train and evaluate next generation models, working closely with our AI research team. We partner with scientists from the world's leading pharma companies to push their discovery programs into new territory. I think you could be a good fit.

This is an opportunity to push the boundaries of applied biology and artificial intelligence. You'll get exposed to a wide array of scientific problems and research methods, far beyond what one encounters working on a single drug program or within a traditional life sciences company.

About you

You have a deep desire to push the limits of what’s possible in therapeutic design, and a restless drive to solve real-world problems and iterate quickly. You are curious, high-agency and incredibly persistent.

  • PhD or equivalent experience in the field—Antibody Engineering, Computational Biology, Protein Sciences.

  • Hands-on experience with design and characterization of antibody-based biologics. Proficient in molecular-biology workflows, binding and developability assays, inspecting structures in PyMOL or similar tools.

  • Track record of strong communication, collaboration and execution.

We offer

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

What this application asks

ashby

Name, Email, Resume

  • Phone Number
  • Homepage or LinkedIn
  • Google Scholar or Publications
  • What other roles or paths are you weighing right now? written answer
  • Tell us about a scientific accomplishment you're particularly proud of—and the moment you weren't sure it would work. What kept you going? written answer
  • What experience do you have applying computational protein design in a drug discovery setting? written answer
  • Tell us about an insight or intuition you have about your field that you haven't seen discussed or written about.
  • What's the most interesting thing you've read or found in the past month? written answer
  • Are you prepared to work  5+ days per week in our San Francisco office? yes / no
  • When can you start? 
  • Do you need Chai to sponsor your work authorization in the United States? choose one

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