Product Research Scientist, Drug Discovery

🕒 May 16

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 Description

• Partner with ML and Computational Chemistry researchers to translate internal scientific code and prototypes into robust, production-ready software systems for external product offerings. • Implement and integrate core scientific algorithms (ML, deep learning, physics-based simulation) into scalable product platforms. • Collaborate within a multi-disciplinary "pod" of engineers, computational chemists, AI experts, and product managers to define requirements, architecture, and deployment strategies for new features. • Ensure the scientific integrity and accuracy of research models (e.g., active learning, FEP, etc.) when deployed in production. • Drive the product lifecycle from scientific inception to external deployment, ensuring technical excellence and market fit.

🎯 Requirements

• PhD in chemistry, biology, or a related discipline. • 3-5 years of relevant experience in a product-focused engineering or applied science role, specifically translating ML or computational chemistry research into production software in the private sector (biotech/pharma preferred). • Experience deploying and maintaining machine learning models for scientific applications (e.g., molecular property prediction, multi-objective optimization). • Proficiency with Python toolkits for scientific computing (e.g., NumPy, Pandas, SciPy) and machine learning (e.g., scikit-learn, PyTorch). • Strong communication skills and a drive to collaborate with colleagues to identify problems and communicate technical solutions in an accessible manner.

🏖️ Benefits

• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Fully remote • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements that enable sustainable performance • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs