Job Description
Advance molecular design as a Generative AI Scientist focusing on cheminformatics. Your expertise will drive the development of AI models that revolutionize the synthesis process and enhance chemical research initiatives.
In this role, you will leverage your PhD or advanced research skills to explore novel molecular structures using cutting-edge AI and machine learning techniques. You will create scalable models that can predict molecular performance, providing essential insights for experimental chemists. A collaborative approach with R&D will be key in integrating innovative predictions into practical applications across various platforms.
Key Responsibilities:
- Develop generative AI models for innovative small-molecule candidates
- Design AI frameworks for effective Computer‑Aided Synthesis Planning
- Automate predictions based on molecular performance characteristics
- Enhance learning techniques using proprietary and public datasets
- Engage with researchers to integrate AI insights into existing systems
Requirements
- PhD or advanced research experience in related technical fields
- Solid foundation in AI/ML methods for molecular applications
- Python proficiency with ML and cheminformatics libraries
- Experience with building generative AI models
- Understanding of Property‑Guided Molecule Generation
Transform molecular research by harnessing your AI expertise in collaborative and impactful scientific initiatives.
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