Role OverviewThe ideal candidate is an exceptional builder with strong biological intuition: someone who can turn work on individual campaigns into reliable, extensible systems that improve how we design molecules across programs.
What You Will Do
Design molecules for active biologics programs, partnering with domain scientists to translate target, mechanism, and experimental constraints into actionable design hypotheses.
Why It Might Be a Fit
You'll work closely with domain scientists, platform teams, and AI researchers to connect specialist protein design models to Lila's broader autonomous science platform.
Requirements
- MS or PhD in computer science, machine learning, computational biology, biophysics, bioengineering, or a similar quantitative field
- Strong software engineering and system design fundamentals
- Rigor in evaluation and dataset design
- Strong cross-functional communication skills
- Domain expertise in protein sequence, structure, and function
Benefits
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Comprehensive benefits program including medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company-wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Company subsidized lunch program
]]>