Generative AI Scientist in Cheminformatics

Innovate in molecular design as a generative AI scientist. Utilize advanced machine learning and cheminformatics to develop AI models capable of optimizing small-molecule properties and synthesis pathways. The role requires deep expertise in AI and computational chemistry, targeting the creation of next-generation models. You'll design and implement state-of-the-art generative AI pipelines and develop property-guided molecular models to optimize desired characteristics. Collaborate with chemists and scientists to integrate in-silico predictions into practical research workflows. Key Responsibilities: • Design generative AI pipelines for small-molecule candidates • Develop property-guided models for molecular optimization • Build ML models predicting properties from chemical structures • Analyze molecular datasets with cheminformatics techniques • Deploy advanced architectures like Transformers and GNNs Requirements: • PhD or equivalent in relevant technical field • Strong understanding of AI/ML in molecular modeling • Experience in building generative AI models • Proficient in Python programming • Familiarity with ML libraries such as PyTorch and RDKit Drive research forward by merging AI with cheminformatics to optimize molecular designs and enhance experimental workflows effectively.