[Hiring] Computational Biologist @Boltz

Role Description

We are looking for a Computational Biologist to work at the intersection of protein design, computational biology, and machine learning, with a particular focus on antibodies, peptides, and other protein therapeutics.

• Support both Boltz's internal research and external drug discovery programs.
• Work directly with clients and scientific partners to understand their design problems.
• Apply Boltz's models to client programs and analyze their computational and experimental data.
• Help design and optimize antibodies, peptides, and other protein therapeutics.
• Collaborate with Research and ML teams to create robust, end-to-end protein design and optimization pipelines.
• Work with large-scale protein sequence and structural data.
• Analyze natural, generated, and experimentally tested proteins using various computational approaches.
• Perform retrospective analyses of binding, affinity, expression, stability, developability, and other measurements.
• Connect experimental outcomes back to computational predictions and design pipeline stages.
• Write strong scientific software and build reproducible pipelines.
• Develop analyses to interrogate outputs of protein design methods.

Qualifications

• MSc, PhD or equivalent experience in computational protein engineering, or a closely related field.
• Strong programming skills, particularly in Python.
• Hands-on experience with protein design, optimization, or modeling tools.
• Proficient in analyzing large collections of protein sequences and structures.
• Ability to analyze experimental results retrospectively.
• Experience with modern protein design and modeling methods such as ProteinMPNN, RFdiffusion, BoltzGen, Boltz, BindCraft or related tools.
• Strong communication skills.

Requirements

• Understanding of common experimental methods for characterizing protein interactions (e.g., SPR, BLI, ELISA, FACS).
• Experience with large-scale protein design campaigns.
• Experience working directly with biotechnology or pharmaceutical partners.
• Contributions to open-source scientific software or published research in relevant fields.

Benefits

• Opportunity to help build the future of AI for biology.
• Work alongside world-class researchers in machine learning and molecular modeling.
• Direct impact on scientific discoveries and drug discovery programs.
• Competitive compensation and significant equity.
• Flexible remote working and access to our London office.