Antibody Engineer at Chai Discovery

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceuticals, Drug DiscoveryIndustries

Requirements

PhD or equivalent work experience in Biological Sciences, Protein Engineering, Biochemistry, or a related field
Hands-on expertise with design and characterization in antibody-based biologics
Nice to have experience across at least one advanced modality (e.g., bispecifics, TCEs, ADCs)
Proficient in molecular-biology workflows: cloning, transient/stable expression (mammalian or yeast), purification, and quality control
Familiar with binding and developability assays, SPR/BLI, ELISA, flow cytometry, etc
Comfortable inspecting structures in PyMOL or similar tools to guide mutagenesis and rational design
Proven record of designing clear experimental plans and managing CRO or vendor relationships from SOW through data review
Able to juggle multiple projects, adapt priorities quickly, and communicate results to computational colleagues in a tight feedback loop
Ability to manage multiple external collaborations effectively
Enjoys troubleshooting the bench-to-model hand-off and pushing emerging antibody formats into new territory
Thrives in a fast-moving, cross-disciplinary environment

Responsibilities

Take in-silico candidates spanning monoclonals, bispecifics, TCEs, engineered cytokines, multifunctionals, and ADC/DAC formats
Design constructs
Run expression and purification campaigns
Develop fit-for-purpose assays that read out affinity, specificity, and developability
Generate data that feeds directly back into the model-training loop

Skills

Key technologies and capabilities for this role

Antibody DesignProtein ExpressionProtein PurificationAffinity AssaysDevelopability AssaysMonoclonal AntibodiesBispecific AntibodiesTCEsEngineered CytokinesADCsWet-lab ValidationBiologics Engineering

Questions & Answers

Common questions about this position

What is the salary for the Antibody Engineer position?

This information is not specified in the job description.

Is this a remote role or is there a required location?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a PhD or equivalent in Biological Sciences, Protein Engineering, Biochemistry or related field, hands-on expertise with antibody-based biologics design and characterization, proficiency in molecular-biology workflows like cloning, expression, purification, and QC, and familiarity with binding assays such as SPR/BLI, ELISA, and flow cytometry.

What is the company culture like at Chai Discovery?

Chai Discovery features a team of leading researchers from top AI labs focused on building powerful AI models for antibody discovery, with a drive to iterate quickly, solve real-world problems, and transform drug discovery through collaboration between scientists and engineers.

What makes a strong candidate for the Antibody Engineer role?

Strong candidates have a PhD in a relevant field, hands-on expertise in antibody biologics including advanced modalities, proficiency in molecular biology workflows and assays, experience managing experimental plans and CROs, and the ability to juggle projects while communicating with computational teams.

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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