Scientist I, Computational Protein Design

📋 Description

• Drive therapeutic protein design leveraging novel computational tools, biochemistry, and structural
• Connect application learning to capability development by identifying recurring capability gaps
• Connect design and experimental learning by serving as an effective interface between computational
• Develop and apply agent-enabled computational workflows that connect scientific information
• Translate results into program decisions by developing and communicating data-driven design

🎯 Requirements

• PhD in protein engineering, biochemistry, bioengineering, molecular biology, computational biology
• Demonstrated experience formulating protein design strategy in areas including de novo protein
• Strong practical understanding of protein sequence, structure, and their relationship to molecular
• Experience with experimental design and interpreting complex biological datasets to guide protein
• Working proficiency in Python and the ability to develop reproducible analyses and computational
• Strong scientific judgment, creativity, and the ability to propose and act on decisions with

🎁 Benefits

• Eligible for annual bonus
• Equity compensation
• Competitive benefits package