Backed by Kleiner Perkins, Sequoia and a16z.
About the role
You will own the clinical research and evaluation agenda for OpenEvidence in global health. You will 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.
What they're looking for
- Specific skillsets are secondary to the clinician-builder profile above, but some important spikes for different facets of this work are:
- Clinical AI evaluation
- You have direct experience evaluating or validating clinical AI/ML tools, and you understand the gap between benchmark performance and real-world clinical safety
- You have 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. Evaluation and quantitative proof are first-class citizens to you
- Regulatory and normative landscape
- You have a strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics
More about this role
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.
We believe work is something that should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building things that haven't existed is only possible with end to end ownership. We don't have...
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