Scientist I, Computational Protein Design

The role

This person will drive therapeutic protein design by translating hypotheses into design and data-generation plans. They will work at the interface of computational protein design, machine learning, and experimental biology to develop reusable design capabilities.

What you will do

• Drive therapeutic protein design using computational tools, biochemistry, and structural biology knowledge.
• Identify recurring capability gaps and translate insights into improved methods and workflows.
• Serve as an interface between computational model development and experimental validation.
• Develop and apply agent-enabled computational workflows.
• Develop and communicate data-driven design recommendations to guide program decisions.

Required qualifications

• PhD in protein engineering, biochemistry, bioengineering, molecular biology, computational biology, bioinformatics, or a related field.
• Demonstrated experience formulating protein design strategy in areas including de novo protein design, protein optimization, protein engineering, antibody engineering, or related molecular-design prob
• 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 to guide protein design decisions.
• Working proficiency in Python and the ability to develop reproducible analyses and computational workflows.
• Strong scientific judgment, creativity, and the ability to propose and act on decisions with incomplete information.
• The ability to communicate technical concepts, assumptions, risks, and tradeoffs clearly to cross-functional audiences.

Nice to have

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

Benefits

• Annual bonus
• Equity compensation
• Competitive benefits package

About the company

Generate Biomedicines is a clinical-stage generative biology company pioneering the AI revolution in drug design and development. They integrate machine learning with large-scale experimentation to design proteins with defined biological intent.