Computational Drug Design Scientist — Hybrid/Remote AI-Driven

Vertex Pharmaceuticals Inc (US); United States; Hybrid; USD 108,000 - 162,000; Full time

Job summary

Vertex Pharmaceuticals seeks a highly motivated computational chemist to join its Computational Drug Design group in Boston. You will contribute to hit/lead identification and optimization using molecular modeling, cheminformatics, data science, and AI-enabled methods, collaborating with interdisciplinary project teams.

You will work with the global Data and Computational Sciences group to provide expertise in data analysis, computational chemistry and AI method development, while guiding

Qualifications

• Ph.D. (or equivalent) in Computational Chemistry with 0-3 years relevant experience.
• Expertise in structure-based drug design.
• Experience leveraging AI for design and discovery workflows.
• Strong programming, data analysis, and communication skills.

Responsibilities

• Apply computational chemistry methods to accelerate drug candidate discovery.
• Collaborate with chemists, biologists and project teams to advance candidates.
• Develop workflows and share successful methods within the group.
• Contribute to Vertex's computational chemistry capabilities and tools.
• Support cross-group collaboration with DMPK, Structural Biology and Safety teams.

Skills

Computational chemistry

Molecular modeling

Cheminformatics

AI methods

Python

Data analysis

Education

Ph.D. in Computational Chemistry

Job description

Vertex Pharmaceuticals seeks a highly motivated computational chemist to join its Computational Drug Design group in Boston. You will contribute to hit/lead identification and optimization using molecular modeling, cheminformatics, data science, and AI-enabled methods, collaborating with interdisciplinary project teams.

You will work with the global Data and Computational Sciences group to provide expertise in data analysis, computational chemistry and AI method development, while guiding