Senior AI Scientist Drug Discovery & Computational Biology

Retail Industry • Dallas, TX

2d • 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 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. Familiarity with structural biology, including protein structure analysis, molecular interactions, computational modeling, and integrating structural data into drug discovery workflows, is important. 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. Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations. We offer a comprehensive suite of solutions including business and technology consulting, Cloud, e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support.

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