AI Research Scientist at Chai Discovery

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related field, along with a strong publication or project record in top ML or life-science venues such as NeurIPS, ICML, Nature Methods, or PLoS CB. Candidates should be proficient in Python and deep-learning frameworks, and have experience training and evaluating large models on protein, antibody, or small-molecule data, or demonstrable transferable ML expertise.

Responsibilities

As an AI Scientist, you will conduct groundbreaking research on computational modeling for biological applications, developing innovative AI methods to advance Chai Discovery’s drug discovery capabilities. You will translate open-ended scientific questions into tractable modeling experiments, design and analyze experiments, and wrangle large biological or chemical datasets, computing meaningful metrics and visualizing results for diverse audiences. You will collaborate with cross-functional teams, including wet-lab scientists, software engineers, and product leads, and communicate complex findings into recommendations for both technical and non-technical stakeholders, ultimately contributing to turning breakthrough research into real-world therapeutic impact.

Skills

Machine Learning

Computational Modeling

Biological Applications

Drug Discovery

Research

Computational Biology

Bioinformatics

Computational Chemistry

Chai Discovery

Develops AI models for molecular predictions

About Chai Discovery

Chai Discovery develops AI foundation models that focus on predicting and reprogramming interactions between biochemical molecules, which are crucial for life. Their main product, Chai 1, is a multimodal model that can predict various molecular structures, such as proteins, small molecules, DNA, RNA, and covalent modifications. This model is available for free through a web interface, making it accessible for both academic researchers and pharmaceutical companies, especially in the field of drug discovery. Unlike many competitors, Chai Discovery emphasizes a user-friendly platform that allows clients to easily integrate AI into their research and development processes. The company's goal is to enhance the efficiency of molecular research and drug discovery by providing powerful AI tools that can accelerate scientific advancements.

None, CaliforniaHeadquarters

N/AYear Founded

$29.2MTotal Funding

SEEDCompany Stage

AI & Machine Learning, BiotechnologyIndustries

Benefits

Health Insurance

Company Equity

Professional Development Budget

Wellness Program

Risks

Increased competition from well-funded AI drug discovery startups threatens market position.

Rapid technological advancements may render current models obsolete without updates.

Dependence on commercial licensing makes revenue vulnerable to industry trend shifts.

Differentiation

Chai Discovery offers a free web-accessible AI model for molecular structure prediction.

Chai 1 excels in predicting proteins, small molecules, DNA, RNA, and covalent modifications.

The company serves both academic researchers and pharmaceutical companies with its AI platform.

Upsides

Recent $30 million investment boosts Chai Discovery's growth and development potential.

Growing demand for AI in drug discovery enhances Chai Discovery's market opportunities.

Partnerships with pharmaceutical companies can accelerate R&D processes using Chai 1.

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