Clinical Lead, Beneficial Deployments
About The Position
OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are now bringing OpenEvidence to clinicians and health workers in low- and middle-income countries, where access to high-quality medical expertise is scarcest and the stakes are highest. Doing that responsibly means proving, to a credible standard, that it is accurate, safe, and useful at the point of care in those settings. If you are a world-class clinician-scientist who wants to own that proof and shape how the best medical AI in the world is validated and adapted for the places that need it most, we want to talk.
Requirements
- Brilliant builder who is also a practicing clinician.
- Smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego.
- Medical training and clinical practice (MD, GP, MBBS, or equivalent) with direct experience delivering care.
- Reason fluidly from how diagnosis, triage, treatment, and referral actually happen at the bedside.
- Concrete, on-the-ground understanding of clinical and care-delivery workflows in LMICs and what those workflows mean for how AI tools must be designed and evaluated.
- 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 what counts as credible evidence for safety and effectiveness.
- 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.
- Experience at a healthtech or AI company in clinical validation, clinical quality, or medical affairs, OR a publication record in digital health, clinical AI evaluation, or implementation science.
- Direct clinical experience in a low- or middle-income country, including with humanitarian or global-health delivery organizations.
Nice To Haves
- Worked with philanthropic funders on evidence generation or research strategy.
Responsibilities
- Own the clinical research and evaluation agenda for OpenEvidence in global health.
- Design the clinical evaluations and validation frameworks that establish how OpenEvidence performs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, working side by side with our research, evaluation, and product teams.
- Develop theories of change and outcome metrics that connect OpenEvidence's capabilities to care quality, health-worker performance, and patient outcomes.
- Help shape the safeguards that make the product safe and usable at the point of care.
- Stay grounded in how care is actually delivered in low-resource settings and translate that into product improvements, not just evaluations.
- Lead on the global health domain within a small, tight-knit global health team.
- Roll up your sleeves on adjacent workstreams, help set overall strategy, and be a thought partner to colleagues working on other parts of the health system.
Benefits
- Providing meals, transport, and anything else you need to move quickly.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
