Partner Manager, Global Health
Anthropic · San Francisco, CA | New York City, NY · Sales · listed July 9, 2026
The shape of it
Seniority
Executive
Where
Hybrid
Stated pay
$215,000 – $300,000 USD
Requirements listed
8
Length
1,721 words
In the posting’s own words
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.
What it asks for · 8
- Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings — you reason fluidly from how diagnosis, triage, treatment, and referral actually happen at the point of care in low and middle income countries.
- A concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs, and what they mean for how AI tools must be designed and evaluated.
- Direct experience evaluating or validating clinical AI/ML tools — you understand the gap between benchmark performance and real-world clinical safety.
- Deep expertise in clinical research and evidence generation for digital health or AI tools, with a clear view of what counts as 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, treating local partners as scientific collaborators rather than data-collection sites.
- High agency, a strong team orientation, and comfort with ambiguity — you pitch in outside your lane and thrive building the plane while flying it.
- A genuine drive to maximize impact for underserved communities, and willingness to travel regularly to research and partner sites (~25%).
Also a plus
- 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.
What the job covers
- 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. Stay grounded in how care is actually delivered in LMICs so our tools and evaluations reflect those realities.
- Contribute across the broader global health portfolio — lean in on adjacent workstreams, help set strategy, and be a thought partner to the team.
Tools and skills named
Models & research
- Evaluations8×
- Machine learning4×
- LLM2×
Security & compliance
- Regulatory6×
Go to market
- Partnerships5×
Words the posting leans on
- clinical33×
- research21×
- experience12×
- health11×
- tools11×
- care10×
- evaluations9×
- lmics9×
- partner9×
- product8×
- evidence7×
- partnerships7×
- building6×
- global health6×
- performance6×
- regulatory6×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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