We are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in:
- AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications.
- Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery.
- Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation.
- AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization.
- Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows.
The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams. |