Research Scientist

Chai Discovery • San Francisco, CA

15h

About The Position

As an AI Research Scientist, you will conduct groundbreaking research on computational modeling for biological applications. Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a craft-obsessed team of micro-pessimists and macro-optimists.

Requirements

• Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related field
• Strong publication or project record in top ML or life-science venues (NeurIPS, ICML, Nature Methods, PLoS CB, J. Chem. Inf. Model., etc.)
• Proficient in Python and deep-learning frameworks
• Experience training and evaluating large models on protein, antibody, or small-molecule data, or demonstrably transferable ML expertise
• Able to translate open-ended scientific questions into tractable modeling experiments
• Skilled at wrangling large biological or chemical datasets, computing meaningful metrics, and visualizing results for diverse audiences
• Enjoy working in cross-functional teams, aligning with wet-lab scientists, software engineers, and product leads
• Clear communicator who can distill complex findings into next-step recommendations for both technical and non-technical stakeholders
• Curious, ambitious, and comfortable iterating quickly on v0 ideas
• Motivated by turning breakthrough research into real-world therapeutic impact

Benefits

• Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created.
• World-class people: work with world-renowned leaders in the AI x Biology ecosystem.
• Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed.
• Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy.
• Highly competitive compensation: we attract the best talent and compensate them accordingly.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree