High-throughput data generation to advance ML design

Highlights

• Develop novel high-throughput assays to measure large sequence libraries
• Generate sequence-to-function data in vitro, in cells, and in vivo
• Improve AI-based design of therapeutic molecules with new data

What they offer

• 30 days paid vacation per year
• Comprehensive health insurance for US based employees
• 401(k) with company match and Direktversicherung option
• Quarterly company-wide retreats
• Monthly wellness benefit
• Learning & Development budget for conferences and courses
• Budget for visits to Berlin, Palo Alto or Switzerland offices

Ideal candidate

PhD scientist with 4+ years beyond academia who loves building multiplexed assays and thinks quantitatively. Collaborative, antedisciplinary beginner's-mind problem-solver excited to fuel ML-driven therapeutic design.

Requirements

• PhD and 4+ years of post-PhD experience in startup, industry, or research
• Solid foundation in molecular and cellular biology theory and techniques
• History of building highly multiplexed assays from mammalian cells
• Scientific programming in Python for analysis and visualization
• Availability for meetings starting at 8am PT across US and Europe
• Readiness to travel several times a year for retreats and events