# Partner Manager, Global Health

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Other
**Salary:** $215k – $300k/yr
**Skills:** Clinical Research, Ai/Ml Evaluation, Clinical Validation, Lmic Healthcare Workflows, Regulatory Affairs, Research Partnerships, Evidence Generation, Digital Health, Implementation Science, Clinical Ai, Llm Evaluation
**Posted:** 2026-07-09

> Drive the clinical AI research and evaluation agenda for Anthropic's global health initiatives in LMICs. Design validation frameworks, build research partnerships with regulators and in-country collaborators, and translate clinical realities into product improvements for Claude in low-resource care settings. Requires medical training plus direct LMIC clinical experience.

## Job Description

## Key Responsibilities
- Own the clinical research and evaluation agenda for global health work — define what needs to be proven, to what standard, with whom, and drive it forward.
- Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in partnership with research, evals, and product teams.
- Develop theories of change and outcome metrics linking model capability to care quality, health-worker performance, and patient outcomes.
- Build and manage global research partnerships; engage with 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; ensure tools and evaluations reflect realities of care delivery in LMICs.
- Contribute across the broader global health portfolio, including adjacent workstreams, strategy setting, and serving as a thought partner to the team.

## Minimum Qualifications
- 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 and implications for AI tool design and evaluation.
- 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, treating local partners as scientific collaborators.
- High agency, strong team orientation, comfort with ambiguity; willingness to travel regularly (~25%).
- Genuine drive to maximize impact for underserved communities.

## 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).
- 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.

## Compensation
Annual Salary: $215,000–$300,000 USD

## Logistics
- Minimum education: Bachelor’s degree or equivalent.
- Location-based hybrid policy: Expect staff to be in one of our offices at least 25% of the time.
- We sponsor visas where possible.

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