Anthropic is seeking a Life Sciences Industry Principal to act as the technical and scientific face of Claude to the world's leading pharmaceutical companies, biotechs, contract research organizations, and research institutions. The role combines deep life sciences domain expertise with technical credibility to help customers envision, architect, and realize transformational AI solutions across the drug discovery and development lifecycle. Responsibilities include technical evangelism, strategic customer engagement, product partnership, pricing and commercial strategy, internal enablement, regulatory navigation, and ecosystem partnership. The position requires extensive senior leadership experience in life sciences, deep regulatory knowledge, and expertise in generative AI technologies, with a focus on influencing product roadmaps and driving adoption across major industry stakeholders. Anthropic offers competitive compensation, equity matching, generous leave, flexible hours, and an onsite office in San Francisco.
Industry Principal, Life Sciences en Anthropic
Presencial - San Francisco, CA, USA; New York City, NY, USA
Más vacantes en AnthropicRequirements
Skills
- 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
- Experience bringing generative AI or LLM‑based products, or other emerging platform technologies, to enterprises in the life sciences industry
- 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
Responsibilities
- Represent Anthropic's scientific and technical vision to the life sciences industry through conference keynotes, executive briefings, whitepapers, and scientific advisory boards
- 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
- Translate customer requirements and competitive dynamics into product priorities and partner closely with Product and Research to develop life‑sciences‑specific capabilities
- Contribute to pricing and packaging decisions with life sciences market insight and understand value drivers across discovery, development, and commercial functions
- Train and uplift Anthropic's GTM teams on life sciences domain expertise, scientific workflows, use cases, and buyer personas
- 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, and patient‑data privacy (HIPAA/GDPR)
- Build technical relationships with GSIs and life sciences consultancies, cloud providers (AWS, Google Cloud, Azure), and life sciences platform/data vendors (Veeva, Benchling, Schrödinger, Medidata, 10x Genomics)
Technologies
AWSGoogle CloudAzureVeevaBenchlingSchrödingerMedidata10x GenomicsLLM-based productsGPT‑3
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