Scientist I, Computational Protein Design

What you'll do

• Plan and execute protein design campaigns, translating therapeutic hypotheses into design strategies and data-generation plans.
• Connect computational design with experimental validation, interpret results, and communicate data-driven recommendations for program decisions.
• Identify recurring design needs and failure modes, and apply those learnings to improve methods, workflows, and platform capabilities.

What they ask for

• PhD in protein engineering, biochemistry, bioengineering, molecular biology, computational biology, bioinformatics, or a related field.
• Demonstrated experience formulating protein design strategy, such as de novo protein design, protein optimization, protein engineering, or antibody engineering.
• Strong practical understanding of protein sequence, structure, and their relationship to molecular properties and biological function.
• Experience with experimental design and interpreting complex biological datasets; working proficiency in Python and ability to develop reproducible analyses and computational workflows.

Nice to have

• Experience with machine learning or statistical modeling.
• Experience developing AI-agent workflows, workflow orchestration, or programmatic interfaces.

Pay

$140,000 — $196,000 USD per year (base salary)

Tools

Python

AI focus

Develop and apply agent-enabled computational workflows connecting scientific information, protein-design models, data, and tools; evaluate their outputs and reliability. Integrate AI-designed proteins with experimental data.