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 roleWe are hiring research scientists with outlier insight who can drive new avenues for the work we pursue. From pre-training large diffusion models and architecture design, to post-training and inference time scaling, we draw upon the best ideas from within our domain and across the field.
Our models have moved beyond protein structure prediction into real-world therapeutic engineering—and we have only just begun. Our team hails from physics, math, theoretical computer science, computational biology and related disciplines. Everyone is capable and self-sufficient, and everyone helps foster a highly collaborative and collegial environment.
Our view is that executing on a long-term research program requires bringing together the right people, with access to the best resources, aligned towards common objectives. And nothing is more essential to our mission and our business than the progress of our research.
About youWe are looking for researchers driven by impact and foundational progress. We index on sustained focus, rigor and results—people who get obsessed with hard problems and don't give up easily. Folks with a nose for tackling the right questions at the right time, alongside an ample dose of grit and curiosity.
We value academic training, research track record, and proven industry accomplishments; we are also more than willing to make a bet on rising talent. We look for engineering capability as well as literature fluency.
We offerThe 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.
Skills Required
- Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or related field
- Strong publication or project record in top ML or life-science venues (e.g., NeurIPS, ICML, Nature Methods)
- Proficiency in Python and deep-learning frameworks
- Experience training and evaluating large models on protein, antibody, or small-molecule data, or demonstrably transferable ML expertise
- Ability to translate open-ended scientific questions into tractable modeling experiments
- Skilled at wrangling large biological or chemical datasets, computing meaningful metrics, and visualizing results
- Strong collaboration and communication skills for cross-functional teams and non-technical stakeholders
What We Do
Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.
