Chief AI Scientist, Small-Molecule Discovery

Vertex Pharmaceuticals Incorporated

Boston (MA)

Hybrid

USD 168,000 - 252,000

Full time

13 days ago
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Benefits offered by this job

Annual bonus
Annual equity awards
Comprehensive benefits

Job summary

Vertex Pharmaceuticals Incorporated is seeking a scientific leader to accelerate AI-driven drug discovery, blending computational chemistry, cheminformatics and modern AI to transform design-make-test-analyze cycles. This Boston-based, hybrid role will shape strategy, evaluation frameworks, and adoption of AI-enabled scientific workflows across discovery research.

The candidate will lead cross-functional teams, drive product leadership for AI-enabled workflows, and ensure governance and

Qualifications

  • Ph.D. in a relevant scientific discipline.
  • 8+ years applying computational chemistry/cheminformatics to drug discovery.
  • Proven ability to translate opportunities into scalable AI capabilities.
  • Experience leading cross-functional initiatives and influencing strategy.

Responsibilities

  • Lead AI-enabled transformations across DMTA in small-molecule drug discovery.
  • Develop and deploy AI co-scientists for knowledge synthesis, SAR analysis, and lead optimization.
  • Define evaluation benchmarks and validation strategies for AI-enabled tools.
  • Ensure responsible AI governance, data access controls, and operational guardrails.
  • Drive adoption through scientist engagement and change leadership.

Skills

AI-enabled workflows
Computational chemistry
Cheminformatics
Molecular design
Machine learning
Data science
Product thinking
Cross-functional leadership

Education

Ph.D. in Computational Chemistry/related field

Job description

Vertex Pharmaceuticals Incorporated is seeking a scientific leader to accelerate AI-driven drug discovery, blending computational chemistry, cheminformatics and modern AI to transform design-make-test-analyze cycles. This Boston-based, hybrid role will shape strategy, evaluation frameworks, and adoption of AI-enabled scientific workflows across discovery research.

The candidate will lead cross-functional teams, drive product leadership for AI-enabled workflows, and ensure governance and

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