Industry Principal, Life Sciences

Key Responsibilities

• Technical Evangelism & Thought Leadership: Represent Anthropic's scientific and technical vision to the life sciences industry through conference keynotes, executive briefings, whitepapers, and scientific advisory boards. Establish Claude as the leading AI platform across discovery research, translational and clinical development, and regulatory affairs.
• Strategic Customer Engagement: Serve as executive technical sponsor for strategic life sciences accounts, engaging CSOs, CMOs, Heads of R&D, Chief Digital/Data Officers, and Heads of AI/Computational Science on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic R&D transformation partner.
• Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop life-sciences-specific capabilities including scientific accuracy and citation integrity, GxP/validated workflows, data privacy and security, model governance, explainability, and auditability.
• Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with life sciences market insight. Understand value drivers across discovery, development, and commercial functions, competitive positioning, and deal structuring.
• Internal Enablement & Advocacy: Train and uplift Anthropic's GTM teams on life sciences domain expertise, scientific workflows, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things life sciences.
• Regulatory & Compliance Navigation: Partner internally and externally to develop thought leadership on AI governance frameworks aligned with FDA and EMA expectations, GxP and GAMP 5, 21 CFR Part 11, data integrity (ALCOA+), and patient-data privacy (HIPAA/GDPR). Help customers understand model risk management, validation, explainability requirements, and responsible AI practices.
• Ecosystem Partnership: Build technical relationships with GSIs and life sciences consultancies (Deloitte, Accenture, PwC, KPMG, ZS, IQVIA), cloud providers (AWS, Google Cloud, Azure), and life sciences platform/data vendors (Veeva, Benchling, Schrödinger, Medidata, 10x Genomics).

Minimum Qualifications

• 20+ years of experience in scientific, technology, and/or business roles with at least 8 years in senior leadership positions (CSO, CMO, VP/Head of R&D, Chief Data/Digital Officer, Head of Computational Sciences, Head of Regulatory Affairs, Distinguished Scientist/Engineer) in pharma, biotech, or a life sciences research organization.
• Deep domain expertise across one or more stages of the drug discovery and development lifecycle — discovery/translational research, bioinformatics/computational biology, clinical development, or regulatory affairs — with hands-on experience building or operating mission-critical scientific or development systems.
• Established executive networks across life sciences R&D and technology leadership (CSOs, CMOs, Heads of R&D / Data Science) and credibility as a thought leader in the industry.
• Deep knowledge of life sciences regulatory and quality requirements (FDA/EMA guidance, GxP, GAMP 5, 21 CFR Part 11, data integrity, computer system validation) and experience implementing compliant technology solutions.
• Experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams.

Preferred Qualifications

• Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to enterprises in these industries.
• Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators.
• Familiarity with consumption- or usage-based commercial models and value-based pricing conversations.

Education

• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role.