🛠 Tech Stack

💼 About This Role

You'll apply ligand and structure-based design methods to drive small molecule drug discovery across hit identification, lead optimization, and candidate selection. You'll integrate computational predictions with experimental data to guide design cycles. This role offers the chance to work with proprietary AI technologies like NeuralPLexer and Enchant.

🎯 What You'll Do

• Apply ligand and structure-based approaches across drug discovery phases
• Guide design cycles through SAR and integration of computational predictions
• Partner with medicinal chemists to design and evaluate virtual libraries
• Collaborate with ML scientists to integrate SBDD with transformer-based prediction

📋 Requirements

• PhD in computational chemistry or related field
• 5+ years experience in industry drug discovery
• Experience supporting active small molecule drug discovery programs
• Python programming skills

✨ Nice to Have

• Familiarity with MOE molecular modeling package
• Experience with ML-augmented small molecule discovery
• Experience in co-folding for small molecule discovery

🎁 Benefits & Perks

• 💰 Competitive pay
• 🏥 Company paid healthcare
• 🏖️ Uncapped vacation
• 🏋️ Onsite gym
• 401k matching

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 4 hours

🚩 Heads Up

• Role title implies senior level but requires PhD + 5 years (may be underleveled)
• Combines computational chemistry with ML integration (broad scope)