Genentech Fellow/Executive Director, Frontier Research, AI for Drug Discovery
Genentech · New York City, NY · Data Science & AI / ML
About this role
Genentech is hiring a director-level AI Research Scientist in the machine learning function based in New York City, NY. The posting calls out experience with Machine Learning. Compensation is listed at $287,800–$534,400 per year.
- Role
- AI Research Scientist
- Function
- machine learning
- Level
- director
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Data Science & AI / ML
- Posted
- Feb 26, 2026
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Job description
from Genentech careersThe Position
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
Frontier Research, originally formed in Prescient Design was acquired by Genentech / Roche, is a specialized unit within the Computational Sciences Center of Excellence (CoE) at Genentech / Roche, dedicated to foundational machine learning research and the development of new algorithmic frameworks. We operate with a flat scientific structure in which senior scientists define their own research agendas, and leaders act as mentors who shape priorities across the organization.