Computational Biologist

You will apply protein design models to internal and client programs, build reproducible design and optimization pipelines, and analyze protein sequence, structural, and experimental data. You will select candidates, assess model performance, interpret experimental outcomes, and improve computational workflows for antibodies, peptides, and other protein therapeutics.

Responsibilities

• Apply protein design models to drug discovery programs
• Build end-to-end protein design and optimization pipelines
• Analyze protein sequence and structural data
• Select candidates for experimental testing
• Build evaluation datasets
• Analyze binding, affinity, expression, stability, and developability results
• Connect experimental outcomes to computational predictions
• Improve models, ranking methods, and design pipelines
• Develop reproducible scientific software and analysis tooling

Requirements

• Computational protein engineering or related experience
• Python
• Scientific software development
• Data pipeline development
• Protein design, optimization, or modeling experience
• Protein sequence and structure analysis
• ProteinMPNN
• RFdiffusion
• BoltzGen
• Boltz
• BindCraft
• Communication

Benefits

• Flexible remote working
• Access to the London office
• Equity