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19 Days AgoSaved
In-Office
2 Locations
Expert/Leader
Expert/Leader
Software
Lead global health partnerships and flagship OpenEvidence deployments across low- and middle-income countries. Build relationships with governments, NGOs, foundations, and innovators; translate clinical and operational needs into low-connectivity deployment plans; run accelerators and cohort programs; support funder engagement; and establish research to measure health impact. Represent the company at global health convenings, inform product and research teams, and travel approximately 25% to partner sites across the Global South.
Top Skills: Artificial Intelligence (Ai)Large Language Models (Llms)
One Month AgoSaved
In-Office or Remote
2 Locations
Mid level
Mid level
Software
Design, harden, and operate cloud infrastructure for a medical AI platform. Own security posture, compliance, and resilience of production systems; improve security observability and implement defense-in-depth controls across services and data platforms handling sensitive medical information.
Reposted One Month AgoSaved
In-Office
Miami, FL, USA
Mid level
Mid level
Software
Build and scale mission-critical backend and infrastructure for a medical AI platform. Architect systems for service reliability and data platforms, ensuring performance and security for sensitive medical data. Own end-to-end projects across products, collaborating with a small engineering team and driving high-impact outcomes.
Reposted One Month AgoSaved
In-Office or Remote
2 Locations
Mid level
Mid level
Software
Build and harden mission-critical infrastructure for a medical AI platform. Improve reliability, performance, and efficiency through SRE practices: observability, SLOs, automation to reduce toil, and robust on-call and incident response processes. Own cross-product infrastructure work and deliver production-grade outcomes.
Reposted One Month AgoSaved
In-Office
2 Locations
Mid level
Mid level
Software
Design and build production-quality medical AI systems, own end-to-end problems, prioritize rigorous evaluation and quantitative proof, collaborate across products, and deliver high-impact, deployed outcomes in a fast-paced, hands-on engineering culture.
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