Partner Manager, Global Health

Details

Anthropic’s Beneficial Deployments team partners with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.

This role will drive the clinical AI research agenda for Anthropic’s global health work. The position focuses on informing tools that bring Claude safely into care, generating evidence that demonstrates their effectiveness, and defining how clinical AI tools should be validated for use in low- and middle-income countries (LMICs). The role works closely with research, evaluations, and product teams to translate real-world clinical care delivery into evaluations, safeguards, and product improvements.

The successful candidate will join a small global health team within Beneficial Deployments, lead the clinical research domain, contribute to adjacent workstreams, help shape team strategy, and collaborate across the broader health portfolio.

Responsibilities

• Own the clinical research and evaluation agenda for global health work, including defining evidence requirements, standards, collaborators, and execution plans.
• Design clinical evaluations and validation frameworks for large language models (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 global research partnerships.
• Engage with regulatory and normative bodies, including the World Health Organization (WHO), national authorities, and research-ethics bodies.
• Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings.
• Ensure that tools and evaluations reflect how care is delivered in LMICs.
• Contribute to adjacent global health workstreams, overall strategy, and team collaboration.

Requirements

• Medical training and clinical practice, such as an MD, GP, MBBS, DO, or equivalent.
• Direct experience delivering care in low-resource settings.
• Concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs and their implications for AI tool design and evaluation.
• Direct experience evaluating or validating clinical AI/ML tools, including understanding the difference between benchmark performance and real-world clinical safety.
• 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 interest in maximizing impact for underserved communities.
• Willingness to travel regularly to research and partner sites, approximately 25% of the time.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
• Required field of study: A field relevant to the role, as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Experience requirements correlate with the internal job level.

Preferred Qualifications

• Hands-on experience building or shaping AI/ML products or tooling, including evaluation harnesses, agentic scaffolding, grounding and guardrails, or clinical decision-support workflows.
• 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 work with humanitarian or global-health delivery organizations.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration. Anthropic currently expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time.

Anthropic sponsors visas and states that it will make every reasonable effort to obtain a visa for candidates who receive an offer, with support from an immigration lawyer.