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Concurrence Inc. in New York works on a platform enabling clinical AI with the Health World Model. We seek a Head of Research to build the research function from the ground up, hire researchers, and set the agenda with our CTO.
You will own evaluation standards, benchmarks, and how findings reach clinicians and regulators. You’ll lead studies, facilitate publications, and ensure research informs product decisions across live health-system deployments.
Concurrence (formerly Amigo) is building the platform healthcare organizations use to build their own clinical AI agents. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.
Underneath our platform is the Health World Model, which unifies a health system’s data into a living, event-level record of every patient’s care. On top of it, agents handle work across the patient journey, from intake and scheduling to medication management and clinical decision support. Our agents have supported more than 10 million patient encounters and are on track to grow tenfold this year. We run natively on Databricks, integrate with every major EHR, and are backed by Madrona, General Catalyst, and Optum Ventures. We’re about 35 people, working in person in New York and San Francisco.
Clinical AI is only worth deploying if someone can demonstrate that it works. Our agents have supported millions of patient encounters, which means we’re held to a clinical standard and trust is earned from clinicians, regulators, and academic reviewers. As Head of Research, you’ll own that case.
You’ll build Concurrence’s research function from the ground up: hiring researchers, setting the agenda alongside our CTO, and owning how our systems are evaluated. That includes benchmarks, patient simulation, diagnostic reasoning evaluation, and the studies that show a clinical agent behaves appropriately in the settings where it is actually deployed. You’ll also own how this work reaches the outside world through publications, academic collaborations, and the regulatory and policy conversations that follow.
Research sits unusually close to the product here. We deploy into live health systems, so findings are expected to change what we ship and the standards you set determine what’s allowed in front of patients. You’ll work directly with the clinicians on our team so the research reflects how medicine is practiced, not just how it appears in a dataset.
This role blends scientific leadership with organizational judgment. You’ll be building a function, not joining one, while representing Concurrence’s technical credibility externally. The ideal candidate brings deep research expertise, the operational discipline to run programs to completion (and stop them when appropriate), and the communication skills to make rigorous work legible to clinical and regulatory audiences.
If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.
We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas. Not despite our standards, but because of them.
We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.
We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.