About Chai Discovery

Chai Discovery is building AI foundation models to enable drug discovery projects for biotech and pharma. The company is backed with significant capital by top-tier investors, such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and many more.

The company recently came out of stealth by launching their first model, Chai-1, the world’s most performant model for molecular structure prediction. For example, on the Posebusters benchmark, Chai-1 achieves a success rate of 77%, while AlphaFold-3 from Google DeepMind achieves 76%.

Chai is operated by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs. The team have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies.

Position Overview 

Chai Discovery is seeking a highly experienced AI Research Scientist to play a crucial role in the development of our next-generation AI x biology foundation models and application to real-world drug discovery challenges. The AI Research Scientist will work closely with the founding team to design and implement AI-powered solutions to complex problems in the drug discovery pipeline.

Key Responsibilities 

• Design, implement, and evaluate novel AI models tailored for drug discovery applications, such as protein design and small molecule discovery.

• Manage and lead large-scale machine learning research projects, ensuring they align with business goals.

• Scale our models on massive datasets in a distributed fashion across many GPU nodes.

• Develop innovative new techniques focused on large-scale models for biomolecular design.

• Develop robust and scalable AI pipelines to process, analyze, and interpret large-scale biological and chemical datasets.

• Stay updated on the latest advancements in AI research and bioengineering, communicate insights to the broader team, and incorporate relevant techniques into the company’s research agenda.

• Work closely with software engineers to integrate AI models into production systems, platforms,

• and front-end applications.

• Support customers on the deployment of our systems into real-world drug discovery workflows.

• Participate in writing research papers, patent applications, and case studies.

Qualifications 

• Master’s or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.

• Minimum of 5 years of hands-on deep learning model development, with expertise in PyTorch, JAX or Tensorflow.

• Strong foundation in machine learning, deep learning, and AI algorithms.

• Demonstrated ability to independently lead research projects, for example by publishing research at top conferences or serving as a staff+ engineer in top industry functions.

• Previous experience applying AI to biomolecular data is a plus.

• Experience managing technical teams or leading complex technical projects is a plus.

What We Offer

• Highly engaging work at the frontier of AI-driven drug discovery that will fundamentally change how new drugs are created.

• Opportunity to work with world-renowned leaders in the AI x biology ecosystem who have created some of the most impactful advancements to date and led highly successful technology careers.

• Highly competitive salary

• Highly competitive equity package

• Healthcare and wellness benefits

• Continuous learning and career growth opportunities

• Collaborative and supportive startup culture

• A high-energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives.

Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply.