Senior Applied AI Scientist - Drug Discovery (LMW)

Novartis; Cambridge (MA); Hybrid; USD 139,000 - 257,000; Full time

Job summary

Novartis in Cambridge is seeking a Senior Expert (Applied AI, LMW Drug Discovery) to join a global AI team. You will develop, evaluate, and apply AI methods and workflows to low molecular weight drug discovery, collaborating with multidisciplinary project teams to maximize impact.

This hybrid role requires 3 days per week in the office. You will build and benchmark AI models, integrate them into DMTA cycles, and communicate progress to stakeholders. Salary range: 138,600–257,400 USD annually.

Qualifications

• 4+ years of experience in ML data management and modeling.
• Strong hands-on coding in Python.
• Experience with AI/ML in drug discovery or related biomed field.

Responsibilities

• Develop, evaluate, and apply AI methods for LMW drug discovery.
• Collaborate with multidisciplinary teams (chemists, engineers, scientists).
• Establish evaluation frameworks and connect model performance to experimental decisions.
• Contribute to DMTA cycles and communication to stakeholders.

Skills

Python

Deep learning

Machine learning

Git

DMTA integration

Communication

Tools

Deep learning frameworks

Version control

Job description

Novartis in Cambridge is seeking a Senior Expert (Applied AI, LMW Drug Discovery) to join a global AI team. You will develop, evaluate, and apply AI methods and workflows to low molecular weight drug discovery, collaborating with multidisciplinary project teams to maximize impact.

This hybrid role requires 3 days per week in the office. You will build and benchmark AI models, integrate them into DMTA cycles, and communicate progress to stakeholders. Salary range: 138,600–257,400 USD annually.