SandboxAQ
Product Research Scientist, Drug Discovery
Canada
Sponsorship not specifiedDetected 55 days ago
PythonAlgorithmsCloud PlatformsCI/CDMachine LearningDeep LearningPyTorchscikit-learnPandasNumPyProduct ManagementEpicResearchCommunicationCollaboration
About the role
- Our team's unique approach enables cross-pollination across diverse fields, from physics, computer science, neuroscience, mathematics, and natural sciences, yielding breakthrough AI + Quantum solutions.
- The AI Simulation team is looking for a Product Research Scientist to join our team.
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.
- 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.
- Drive the product lifecycle from scientific inception to external deployment, ensuring technical excellence and market fit.
- Strong communication skills and a drive to collaborate with colleagues to identify problems and communicate technical solutions in an accessible manner.
Skills
- PhD in chemistry, biology, or a related discipline.
- Proficiency with Python toolkits for scientific computing (e.g., NumPy, Pandas, SciPy) and machine learning (e.g., scikit-learn, PyTorch).
- An interest in solving scientific problems in chemistry and biology via computational and data-driven methods.
- Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Compensation
- Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits
- Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
- Implement and integrate core scientific algorithms (ML, deep learning, physics-based simulation) into scalable product platforms.
- Ensure the scientific integrity and accuracy of research models (e.g., active learning, FEP, etc.) when deployed in production.
- Experience deploying and maintaining machine learning models for scientific applications (e.g., molecular property prediction, multi-objective optimization).
- Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
- Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Company info
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
- We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
- Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
Equal opportunity
- All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
- Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
- If you need such an accommodation, please let a member of our Recruiting team know.
- Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Visa & Work Authorization
- ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
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