Partner Manager, Global Health

ABOUT THE ROLE We're seeking a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic's global health work. This role will inform the tools that bring Claude safely into care and generate 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 shape the tools and safeguards that make Claude safe and usable in clinical settings. WHAT YOU'LL DO You'll own the clinical research and evaluation agenda for our global health work, defining what we need to prove, to what standard, and with whom, and driving it forward. You'll design clinical evaluations and validation frameworks for Large Language Models (LLMs) in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in close partnership with Anthropic's research, evaluation, and product teams. You'll also develop theories of change and outcome metrics connecting model capability to care quality, health-worker performance, and patient outcomes. Additionally, you'll build and manage our global research partnerships, and engage with relevant regulatory and normative bodies. You'll partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings. You'll stay grounded in how care is actually delivered in LMICs, so our tools and evaluations reflect those realities. You'll also contribute across the broader global health portfolio, leaning in on adjacent workstreams, helping set strategy, and being a thought partner to the team. WHAT YOU'LL NEED You'll need medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings. You'll have 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. You'll also have direct experience evaluating or validating clinical AI/ML tools, and deep expertise in clinical research and evidence generation for digital health or AI tools. You'll have a strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics. You'll also have a track record of building research partnerships with academic and in-country researchers, treating local partners as scientific collaborators rather than data-collection sites. You'll have high agency, a strong team orientation, and comfort with ambiguity, and a genuine drive to maximize impact for underserved communities. WHY REMOTE This role is a remote position, with the expectation of regular travel to research and partner sites (approximately 25%). BENEFITS The annual compensation range for this role is $120,000 - $180,000.