Computational Scientist, Assay Development

Highlights

• Design and analyze multiplexed protein library experiments for drug discovery.
• Invent new quantitative protein engineering assays with experimental scientists.
• Advance platform for data-driven engineering of tissue-targeted medicines.

What they offer

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• On-site gym, onsite lunch, and commuter support

Ideal candidate

Collaborative computational biologist passionate about translating complex screening data into therapeutic antibodies. You thrive guiding experiments and building trusted tools at the intersection of computation and wet-lab discovery.

Requirements

• PhD and/or 4+ years experience in computational biology, bioinformatics, protein engineering or similar
• Strong understanding of statistics fundamentals and data analysis methodologies
• Rich experience with Python, agentic coding, data pipeline development
• Familiarity with version control, test-driven development, and Unix computing
• Experience with massively parallel reporter assays and high-throughput screening data
• Experience designing DNA libraries for binders, DMS, phage display or equivalent
• Experience working with NGS data from library-based experiments
• Outstanding written and verbal communication skills