Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS @ 4
Azure
Compliance
GDPR
GenAI
Generative AI @ 4
LLM @ 4
Leadership @ 7
Security @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. As the Life Sciences Industry Advisor at Anthropic, you will serve as the technical and scientific face of Claude to the world's leading pharmaceutical companies, biotechs, contract research organizations, and research institutions.
Responsibilities
- Technical Evangelism & Thought Leadership: Represent Anthropic's scientific and technical vision through conference keynotes (e.g., J.P. Morgan Healthcare, BIO, DIA, SLAS, Bio-IT World), executive briefings, whitepapers, and scientific advisory boards.
- 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.
- Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities; partner with Product and Research on life-sciences-specific capabilities (scientific accuracy and citation integrity, GxP/validated workflows, data privacy and security, model governance, explainability, auditability).
- Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with life sciences market insight and deal structuring.
- Internal Enablement & Advocacy: Train and uplift Anthropic's GTM teams with life sciences domain expertise, scientific workflows, use cases, and buyer personas.
- Regulatory & Compliance Navigation: 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).
- 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).
Requirements
- Have 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.
- Have 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.
- Have established executive networks across life sciences R&D and technology leadership and credibility as a thought leader.
- Have 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.
- Have 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.
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- Visa sponsorship: We do sponsor visas, but success depends on role and candidate; if offered, Anthropic will make reasonable effort to get you a visa and retains an immigration lawyer to help.
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