[Hiring] Product Research Scientist @SandboxAQ

Role Description

SandboxAQ's AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. The AI Simulation team is looking for a Product Research Scientist to join our team. This role is central to our efforts to drive the translation of internal drug discovery research software into external-facing, production-ready product offerings.

• 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.

Qualifications

• 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.

Requirements

• Familiarity with production deployment environments and principles (e.g., cloud platforms, CI/CD, containerization) and high-performance computing (GPU) environments.
• An interest in solving scientific problems in chemistry and biology via computational and data-driven methods.
• Hands-on mentality and comfort with getting deep into the technical details of complex problems, with a track record of driving projects to completion.

Benefits

• Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions.
• Retirement savings with company matching.
• Paid parental leave and inclusive family-building benefits.
• Fully remote work, flexible paid time off, and 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.