🛠 Tech Stack

💼 About This Role

You'll pioneer novel deep learning architectures for protein-ligand co-folding and affinity prediction at a high-growth AI company. Your core impact will be transforming breakthroughs into production-ready drug discovery pipelines. You'll also champion scientific excellence through high-impact publications and external representation.

🎯 What You'll Do

• Drive R&D of next-gen deep learning models for co-folding and affinity.
• Bridge research to commercial utility in drug discovery software.
• Mentor junior researchers and foster technical rigor.
• Shape technical vision internally and externally.

📋 Requirements

• PhD in Computer Science or Computational Chemistry.
• 4+ years post-PhD industry experience with scientific product impact.
• Hands-on experience with co-folding and/or affinity prediction models.
• Proficiency in Python and PyTorch/JAX at scale.

✨ Nice to Have

• Postdoctoral experience in deep learned structure-based affinity models.
• Experience shipping commercial biopharma or tech software.
• First-author publications at NeurIPS, ICML, or CVPR.

🎁 Benefits & Perks

• 💰 Competitive base salary with equity participation.
• 🏥 Comprehensive medical, dental, vision with generous employer contributions.
• 🏖️ Flexible paid time off and company-wide seasonal breaks.
• 📈 Retirement savings with company matching.
• 👶 Paid parental leave and family-building benefits.