Senior Agentic AI Scientist & Lead

Vertex Pharmaceuticals Inc (US); United States; Hybrid; USD 216,000 - 325,000; Full time

Benefits offered by this job

Hybrid-Eligible

On-Site Eligible

Job summary

Vertex Pharmaceuticals is seeking a senior scientific leader to drive an agentic AI co-scientist initiative. You will guide a cross‑functional team across scientific, computational, and technical domains, translating needs into a prioritized roadmap and governance framework.

You will shape execution from prototype to adoption while maintaining scientific judgment and accountability. The role requires leading strategic decisions, evaluating internal and external AI capabilities, and communicating

Qualifications

• Deep understanding of drug discovery workflows and AI-enabled scientific tools.
• Proven ability to define evaluations, benchmarks, and success measures for AI-enabled workflows.
• Experience leading cross-functional initiatives from strategy through delivery and adoption.

Responsibilities

• Lead a cross-functional team across scientific, computational, and technical areas to define priorities and deliver AI capabilities.
• Translate scientific needs into a sequenced roadmap and governance framework for agentic AI projects.
• Represent the co-scientist effort to executives, communicating strategy, risks, and milestones.

Skills

Scientific leadership

Cross-functional collaboration

Strategic judgment

Executive communication

Stakeholder management

Mentoring

Rapid learning

Problem solving

Education

PhD in Computer Science/AI/ML/Computational Biology

Job description

Vertex Pharmaceuticals is seeking a senior scientific leader to drive an agentic AI co-scientist initiative. You will guide a cross‑functional team across scientific, computational, and technical domains, translating needs into a prioritized roadmap and governance framework.

You will shape execution from prototype to adoption while maintaining scientific judgment and accountability. The role requires leading strategic decisions, evaluating internal and external AI capabilities, and communicating