Senior ML Scientist, AI for Protein Engineering

Highlights

• Develop generative models moving protein designs from in silico to wet-lab leads.
• Own applied ML workflows for protein engineering campaigns end to end.
• Turn wet-lab successes and failures into better models and design principles.

What they offer

• Bonus potential
• Early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company holidays
• Paid parental leave
• Educational assistance program

Ideal candidate

Senior ML scientist with deep intuition for protein biology who loves therapeutic impact. Thrives collaborating with wet-lab teams, turning experimental results into better models and design principles.

Requirements

• PhD in Computational Biology, Computer Science, ML, Biophysics, Bioengineering or related field
• Track record applying ML to protein design or biologics engineering
• Hands-on experience developing modern AI methods
• Intuition for therapeutic biologics design and experimental validation
• Ability to drive applied research independently to experimental validation
• Strong collaboration across ML, biology and software teams