Applied AI/Bio Scientist - Biologics at Chai Discovery

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Artificial IntelligenceIndustries

Requirements

Candidates should possess significant scientific experience, typically 5+ years in biotech or biomedical research, with a strong command of molecular biology, protein science, or a related discipline. They should be fluent in applied computational biology, comfortable writing and debugging code (preferably in Python), and capable of interpreting protein structures in PyMol and analyzing sequence alignments. Additionally, applicants should have experience with protein production and purification, affinity measurements, antibody polyreactivity characterization, and cell-based functional assays.

Responsibilities

The Applied Computational Scientist (Biologics) will play a critical role in therapeutic design benchmarking at Chai Discovery, working across dozens of biotech problems to unveil new possibilities in drug design. They will define experimental efforts to reach high-level goals, interrogate and refine lab results with rigor for TPPs and publications, and lead lab projects. Furthermore, they will use Python scripts for data analysis, including ingesting diverse data types, computing statistics, and creating quantitative plots, and will contribute to the validation of AI models through hands-on experience with techniques such as protein production, affinity measurements, and antibody characterization.

Skills

Molecular Biology

Protein Science

Therapeutic Design

Drug Design

Computational Science

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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