🛠 Tech Stack

💼 About This Role

You'll apply advanced computational chemistry techniques to drive drug discovery across hit identification, lead optimization, and candidate selection. You'll collaborate with machine learning scientists and medicinal chemists to integrate structure-based methods with cutting-edge AI. This role stands out for its focus on proprietary co-folding technology and transformative impact.

🎯 What You'll Do

• Apply ligand and structure-based design approaches across drug discovery phases.
• Guide design cycles using SAR and computational predictions.
• Partner with medicinal chemists to design and evaluate virtual libraries.
• Collaborate with ML scientists to integrate SBDD methods with AI predictions.
• Leverage and evolve protein-ligand co-folding technology for structural hypotheses.

📋 Requirements

• PhD in computational chemistry or related field.
• 5+ years of industry drug discovery experience.
• Experience supporting active small molecule drug discovery programs.
• Proficiency with ligand and structure-based design tools.
• Python programming skills.

✨ Nice to Have

• Familiarity with MOE molecular modeling package.
• Experience with MD simulation and advanced binding affinity prediction.
• Experience with ML-augmented small molecule discovery.
• Experience in co-folding for small molecule discovery.

🎁 Benefits & Perks

• 🏖️ Uncapped vacation.
• 💰 Company paid healthcare.
• 🏋️ Onsite gym and dining in new facility.
• 🧑‍💼 401K matching.
• 💳 Flexible spending accounts.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min