🛠 Tech Stack

💼 About This Role

You'll partner with ML and Computational Chemistry researchers to translate internal scientific code into production-ready product offerings for drug discovery. You'll drive the product lifecycle from scientific inception to external deployment, ensuring technical excellence and market fit. This role is central to cross-pollinating breakthroughs from AI, physics, and biology into scalable software.

🎯 What You'll Do

• Partner with researchers to translate scientific code into production-ready software
• Implement and integrate ML and physics-based simulation algorithms into scalable platforms
• Collaborate in a multidisciplinary pod to define requirements and deployment strategies
• Ensure scientific integrity of models deployed in production

📋 Requirements

• PhD in chemistry, biology, or related discipline
• 3-5 years experience translating ML or computational chemistry research into production software
• Experience deploying machine learning models for scientific applications
• Proficiency with Python scientific computing and ML toolkits

✨ Nice to Have

• Familiarity with cloud platforms, CI/CD, containerization, and GPU environments
• Interest in solving scientific problems in chemistry and biology via computational methods

🎁 Benefits & Perks

• 🏥 Comprehensive medical, dental, vision with generous employer contributions
• 💰 Equity participation and performance-based incentives
• 🏖️ Flexible PTO and company-wide seasonal breaks
• 👶 Paid parental leave and family-building benefits
• 📚 Career development programs and cross-functional collaboration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3On-site interviews (loop)· 3-4 hours