AI Hiring Index

Anthropic · Operations · Lead / Manager · Posted 2026-09-04

Corporate Development Lead, Life Sciences

Anthropic · San Francisco, CA · $425k–600k base

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About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is seeking an experienced Corporate Development leader to drive our strategic transactions in life sciences and biotech. Frontier AI is beginning to change how drugs are discovered, developed, and brought to patients, and Anthropic wants to help build that future responsibly. In this role, you will source and execute acquisitions, investments, and strategic partnerships with AI-native life sciences companies, partnering directly with Anthropic's leadership, research, and product teams to shape our strategy in the sector, grounded in Anthropic's strategic priorities.

The ideal candidate combines deep life sciences domain knowledge with technical fluency in AI and a record of closing complex transactions. You understand how R&D, clinical, and regulatory workflows actually run, you can tell a durable AI-native business from a thin wrapper, and you can assess a target's science, data, and compliance posture as rigorously as its financials. You care about AI safety and Anthropic's mission to build AI systems that are helpful, harmless, and honest, and you recognize the stakes of applying AI where patient safety and scientific integrity are on the line.

Join us in shaping how AI accelerates science and medicine while keeping it safe and beneficial for humanity. This role sits at the intersection of frontier AI research and life sciences, with direct impact on Anthropic's growth in one of its most consequential sectors.

Key responsibilities

Define and execute Anthropic's corporate development strategy in life sciences, covering acquihires, tuck-in acquisitions, minority investments, and strategic partnerships

Build and maintain a target pipeline across AI-native companies in drug discovery, clinical development, regulatory and medical writing, lab automation, and healthcare data infrastructure

Lead end-to-end transaction processes, from sourcing through diligence, negotiation, signing, and integration

Partner with research, product, engineering, and go-to-market teams to assess the technical, scientific, and commercial value of opportunities

Run sector-specific diligence, including scientific and data validation, regulatory posture (FDA, EMA, GxP, 21 CFR Part 11), data privacy (HIPAA, GDPR), quality systems, and IP

Assess build/partner/buy tradeoffs and competitive dynamics against incumbents, AI-native entrants, and other frontier AI labs

Structure and negotiate complex deals, including earnouts, milestone-based consideration, and licensing arrangements, working closely with legal, finance, and policy teams

Build financial models and valuation analyses suited to life sciences businesses, including services-heavy and usage-based revenue models

Drive post-transaction integration, with particular attention to retaining scientific and technical talent and maintaining regulated customer commitments

Build relationships with founders, life sciences and healthcare VCs, pharma and biotech corporate development teams, and academic research institutions

Present strategic recommendations to executive leadership and the board

Support Anthropic's partnerships with pharmaceutical companies, CROs, and research organizations

Minimum qualifications

Have led complex M&A, investment, or partnership transactions from sourcing through close

Understand the drug development lifecycle, from discovery through clinical trials, regulatory submission, and commercialization

Have strong technical fluency in AI and software, gained as an engineer, product manager, scientist, or technology investor

Bring strong analytical and financial modeling skills

Can en …

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