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Partner Manager, Global Health

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: job-boards.greenhouse.io- JobBoard
Full Time position
Listed on 2026-07-13
Job specializations:
  • Research/Development
    AI Evaluation, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 215000 - 300000 USD Yearly USD 215000.00 300000.00 YEAR
Job Description & How to Apply Below

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.

About the Role

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 define how clinical AI tools should be validated for use in low- and middle-income countries (LMICs) and help shape the safeguards that make Claude safe and usable in clinical settings.

This is a hands‑on role that works side by side with Anthropic’s research, evals, and product teams.

Key Responsibilities
  • Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it.
  • Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real‑world conditions, in close partnership with Anthropic’s research, evals, and product teams.
  • 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 (WHO, national authorities, research‑ethics bodies).
  • Partner with internal research and product teams to improve Claude for clinical use cases in low‑resource settings, staying grounded in how care is actually delivered in LMICs.
  • Contribute across the broader global health portfolio — lean in on adjacent work streams, help set strategy, and be a thought partner to the team.
Qualifications
  • Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent) with direct experience delivering care in low‑resource settings.
  • A 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, with a clear view of credible evidence for clinical safety and effectiveness.
  • A strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics.
  • A track record of building research partnerships with academic and in‑country researchers.
  • High agency, strong team orientation, and comfort with ambiguity.
  • A genuine drive to maximize impact for underserved communities and willingness to travel regularly (~25%).
Preferred Qualifications
  • Hands‑on experience building or shaping AI/ML products or tooling—eval harnesses, agentic scaffolding, grounding and guardrails, or clinical decision-support workflows.
  • A 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.
Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience.
Compensation range: $215,000 - $300,000 USD per year.
Location-based hybrid policy: Staff are expected to be in one of our offices at least 25% of the time.
Visa sponsorship: We sponsor visas where possible.

How We’re Different

We believe the highest‑impact AI research is big science. At Anthropic we work as a single cohesive team on a few large‑scale research efforts and value impact over smaller puzzles. We view AI research as an empirical science and host frequent research discussions to ensure we pursue the highest‑impact work at any given time.

Come Work with Us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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