Partner Manager, Global Health na Anthropic

Híbrido - San Francisco, CA | New York City, NY

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We’re looking for a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic’s global health work — informing the tools that bring Claude safely into care and generating the evidence that proves they work. You’ll help define how clinical AI tools should be validated for use in low‑ and middle‑income countries (LMICs), and you’ll help shape the tools and safeguards that make Claude safe and usable in clinical settings. This is a hands‑on role as much as a research one: you’ll work side by side with Anthropic’s research, evals, and product teams, translating what you know from how care actually gets delivered in low‑resource settings into evaluations, safeguards, and product improvements.

Salary

USD 215,000 - 300,000

Requirements

Skills

  • Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent) with direct experience delivering care in low-resource settings.
  • Concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs.
  • Direct experience evaluating or validating clinical AI/ML tools.
  • Deep expertise in clinical research and evidence generation for digital health or AI tools.
  • Strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics.
  • Track record of building research partnerships with academic and in-country researchers.
  • High agency, strong team orientation, and comfort with ambiguity.
  • Genuine drive to maximize impact for underserved communities and willingness to travel regularly to research and partner sites (~25%).
  • Hands‑on experience building or shaping AI/ML products or tooling.
  • Publication record in digital health, clinical AI evaluation, or implementation science.
  • Experience at a healthtech or AI company in clinical validation, clinical quality, or medical affairs.
  • Experience working with philanthropic funders on evidence generation or research strategy.
  • Direct clinical experience in a low‑or middle‑income country, including with humanitarian or global‑health delivery organizations.

Responsibilities

  • Own the clinical research and evaluation agenda for our global health work.
  • Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real‑world conditions.
  • Develop theories of change and outcome metrics connecting model capability to care quality, health‑worker performance, and patient outcomes.
  • Build and manage our global research partnerships and engage with relevant regulatory and normative bodies.
  • Partner with internal research and product teams to improve Claude for clinical use cases in low‑resource settings.
  • Contribute across the broader global health portfolio, lean in on adjacent workstreams, help set strategy, and be a thought partner to the team.

Technologies

LLMsclinical AI/ML toolsevaluation harnessesagentic scaffoldingguardrailsclinical decision‑support workflows

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