Product Research Scientist, Drug Discovery
New
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SandboxAQAI, Drug Discovery
Location: United States; UK Tier 1/2; CAN Tier 1/2Full-TimeMiddle
Salary134,400 - 252,000 USD per year
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Job Details
- Experience
- 3-5 years
- Required Skills
- PythonMachine LearningNumpyPyTorchPandasscikit-learn
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.
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.
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