OpenEvidence

OpenEvidence

Visit websiteLinkedIn51-200 employeesH1B sponsor

OpenEvidence builds an AI-powered medical information and clinical decision-support platform for clinicians and healthcare organizations, combining search across guidelines, clinical trials, and journals. The product is delivered as cloud-based software and used to retrieve evidence and literature at the point of care. Founded in 2021 and headquartered in Miami, it emerged from the Mayo Clinic Platform Accelerate program and partners with NEJM and JAMA, with backing from Sequoia and Google.

Open Positions at OpenEvidence

5 open positions

Miami, FL, USA or San Francisco, CA, USASenior

Join OpenEvidence as a highly autonomous builder shaping a medical AI platform used by millions of clinicians. You will own impactful, end-to-end projects across areas such as full-stack development, applied AI, infrastructure, machine learning, mobile, or performance.

13 days ago

Build end-to-end applied AI systems and products with substantial ownership at OpenEvidence, a medical AI platform. This full-time role is for an autonomous, hands-on builder working in person five days a week in San Francisco or Miami.

8 months ago
Miami, FL, USA or San Francisco, CA, USASenior

Build and harden the mission-critical infrastructure behind OpenEvidence’s medical AI platform, improving reliability, performance, observability, and efficiency. This high-ownership role is based in San Francisco or Miami and requires working in person five days a week.

8 months ago
Miami, FL, USASenior

Build and scale the backend and infrastructure behind a widely used medical AI platform. This high-ownership engineering role focuses on reliability, data platforms, performance, security, and infrastructure design for sensitive medical data.

8 months ago
Miami, FL, USA or San Francisco, CA, USASenior

Join OpenEvidence as an autonomous Member of Technical Staff engineer building and scaling medical AI products used by clinicians worldwide. The role offers broad ownership across AI, product engineering, user experience, infrastructure, reliability, and performance.

8 months ago
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