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Product Research Scientist, Drug Discovery jobs in United States
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SandboxAQ · 1 week ago

Product Research Scientist, Drug Discovery

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. They are seeking a Product Research Scientist to drive the translation of internal drug discovery research software into production-ready products, collaborating with researchers and engineers to ensure scientific integrity and market fit.
Artificial Intelligence (AI)Cyber SecurityEnterprise SoftwareInformation TechnologyQuantum ComputingSaaS
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine learning model deploymentComputational chemistryPythonNumPyPandasSciPyScikit-learnPyTorchCloud platformsCI/CDContainerizationHigh-performance computingPhysics-based simulationDrive to complete projects

Required

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

Preferred

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
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

Company

SandboxAQ

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SandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science.

H1B Sponsorship

SandboxAQ has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
28%
Represents job field similar to this job
Engineering and Development
Accounting and Finance
Management and Executive
Trends of Total Sponsorships
*2026 (2)
2025 (7)
2024 (6)
2023 (3)
2022 (5)
2021 (1)
2020 (5)

Funding

Current Stage
Late Stage
Total Funding
$1.48B
Key Investors
U.S. Department of CommerceLeclercq American CapitalEric Schmidt Angel Investments
2026-06-17Grant· $500M
2025-12-03Private Equity
2025-04-04Series E· $150M

Leadership Team

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Jack Hidary
Chief Executive Officer
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Company data provided by crunchbase