Scientist I, Computational Protein Design

Highlights

• Drive end-to-end computational protein design campaigns for therapeutic programs.
• Translate therapeutic hypotheses into design and data-generation plans.
• Feed application learnings back to shape new design methods and workflows.

What they offer

• Annual bonus
• Equity compensation
• Competitive benefits package

Ideal candidate

Inventive protein scientist with deep biochemical intuition who thrives at the interface of computation and experiment, translating ambiguous therapeutic ideas into clear design strategies.

Requirements

• PhD in protein engineering, biochemistry, bioengineering, molecular biology, computational biology, bioinformatics, or related field
• Demonstrated experience formulating protein design strategy including de novo design, optimization, or antibody engineering
• Strong practical understanding of protein sequence, structure, and relationship to function
• Experience with experimental design and interpreting complex biological datasets to guide design
• Working proficiency in Python and ability to develop reproducible analyses and workflows
• Strong scientific judgment, creativity, and ability to act with incomplete information
• Ability to communicate technical concepts, assumptions, risks, and tradeoffs clearly