Director of Applied AI Research | Data Science (Drug Discovery)

Key responsibilities

• Have a deep and broad understanding of AI/machine learning (ML) methods
• Have a deep understanding of drug discovery and relevant AI/ML methods for in-silico/3D molecule and protein design, retro/synthesis, molecular dynamics, quantum chemistry…etc.
• Lead efforts in AICS surrounding Generative Chemistry
• Take a hands-on role and deliver on highly visible multiple projects
• Serve as an ambassador for AI & Data Sciences at Novartis by presenting and publishing articles
• Actively build and lead engagements with academia, technology, and industry partners (e.g., Microsoft Research)
• Keep ahead of latest developments in the field and mentor associates
• Be a part of a truly unique organization with an inter-disciplinary team made up of highly accomplished scientists who are curious, love to learn, and push the AI frontier in drug discovery

Role Requirements

• An advanced degree (master’s or doctoral) in a quantitative field including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines
• 9+ years of relevant thought leadership/publication track record in machine learning applications and AI/ML methods
• 12+ years of experience in end-to-end analysis for large scale data sets
• Cross-industry experience highly preferred and previous experience in pharma, biotech, or healthcare desired.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.​