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OpenEvidence

AI-driven clinical decision support for care

Member of Technical Staff - Beneficial Deployments

Software EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience pushing the boundaries of modern machine-learning models.
  • Experience building beautiful mobile apps is relevant to the frontend and/or mobile facet of the work.
  • A research background and an interest in building products rather than writing papers are relevant to the machine-learning facet.
  • Ability to use evaluation and quantitative proof in machine-learning work.
  • Ability to build robust, optimized backends for mission-critical domains.
  • Ability to track down and optimize sources of inefficiency to improve speed and user experience.
  • Ability to build end-to-end systems that use modern models as components of thoughtful, intentional systems.

Responsibilities

  • Build and deliver end-to-end products and take ideas through to completion.
  • Create modern, intentional user interfaces and take direct ownership of the user experience.
  • Build products that are used by clinicians and other discerning users.
  • Take ownership of major product improvements and deliver measurable outcomes.
  • Build robust backends and eliminate downtime for mission-critical services.
  • Optimize product speed and remove sources of inefficiency.
  • Build applied AI systems using modern models.

About the Company

OpenEvidence

AI-driven clinical decision support for care

OpenEvidence builds AI-driven clinical decision support tools that help healthcare professionals make better choices at the point of care. It creates AI models and interfaces that integrate with existing platforms (notably through Mayo Clinic Platform Accelerate) and partner ecosystems like Elsevier Health to power products such as ClinicalKey AI. Clinicians use these tools inside their regular clinical workflows, with AI assisting by analyzing medical literature, guidelines, and patient data to suggest evidence-based options.

Company size
51-200
Company stage
Late Stage VC
Total funding
$1B
Headquarters
Miami, FL
Founded
2022

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