🛠 Tech Stack

💼 About This Role

You'll build and lead computational chemistry and AI-enabled infrastructure at a seed-stage biotech pioneering induced proximity medicines. Your work will directly guide small-molecule drug discovery from hit identification to candidate selection.

🎯 What You'll Do

• Provide hands-on computational chemistry support across discovery programs.
• Apply structure-based and ligand-based design methods to guide compound design.
• Build scalable cheminformatics infrastructure for data handling and analysis.
• Lead implementation of AI/ML tools for molecular design and prediction.
• Define computational chemistry strategy and align with discovery goals.

📋 Requirements

• PhD in computational chemistry, cheminformatics, or related field.
• 8+ years experience in computational chemistry in pharma or biotech.
• Proven track record of contributing to drug discovery programs.
• Expertise in docking, MD, FEP, and QSAR methods.

✨ Nice to Have

• Experience building AI/ML models for drug discovery.
• Familiarity with Schrodinger, MOE, RDKit, or ChemAxon.
• Prior experience leading a computational chemistry team.

🎁 Benefits & Perks

• 💰 Competitive equity in a seed-stage startup.
• 🏖️ Unlimited PTO.
• 🧬 Access to cutting-edge drug discovery platform.
• 🏢 San Francisco office with flexible hybrid options.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3On-site presentation· 90 min