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Amigo seeks a Head of Research to build and lead our research function, shaping benchmarks, simulations, and diagnostic evaluations for clinical AI. You’ll set the research agenda with the CTO and ensure rigorous methods guide product decisions.
You will collaborate with clinicians, regulators, and academia to publish findings and shape policy, while aligning research with real-world patient care.
At Amigo, we're building the clinical AI infrastructure that health systems, life sciences companies, payors, and government agencies run their patient-facing care on. Our agents work across the whole patient journey: pre-visit intake, care navigation, post-visit care plans, and ongoing monitoring. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.
This hasn’t been solved because the underlying record was never built for it. EHRs were designed for billing, not for systems that learn. So instead of layering another point solution on top, we’re rebuilding the medical record as a timeline of clinical events and running agents on top of it that improve with every patient interaction. Unlike single-purpose chatbots or scribes, Amigo is the platform our customers use to build their own agents. That means our work has to hold up across specialties, workflows, and regulatory environments and not just one narrow use case.
Our agents have supported more than 4 million patient encounters and are on track to grow tenfold this year. Our work is validated through partnerships with leading academic medical institutions. We’re fresh off our Series A, backed by Tier 1 VCs such as Madrona, General Catalyst, and Optum Ventures.
We’re a small team of around 35 people, working in person in New York City and San Francisco. We care deeply about craft, clinical rigor, and the speed at which good ideas reach patients. If you want your work to be measured in outcomes rather than releases, we’d like to hear from you.
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 Amigo’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 Amigo’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.