Senior AI Scientist Drug Discovery & Computational Biology

Vytwo • Prosper, TX

7h • Hybrid

About The Position

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. Experience with graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery is also desired. The role involves virtual cell screening and AI-driven target discovery platforms, with a particular focus on rare disease research and therapeutic innovation. Additionally, the candidate will work on AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization. Experience in structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows, is essential. 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.

Requirements

• Deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development
• Experience in AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications
• Experience in Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery
• Experience in Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation
• Experience in AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization
• Experience in Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows
• Strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery
• Ability to collaborate effectively with multidisciplinary research and development teams

Responsibilities

• Applying Artificial Intelligence and Machine Learning to drug discovery and development
• Utilizing AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications
• Applying graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery
• Working with virtual cell screening and AI-driven target discovery platforms, with a focus on rare disease research and therapeutic innovation
• Engaging in AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization
• Leveraging structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows
• Collaborating effectively with multidisciplinary research and development teams

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed