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OpenEvidence

Software Engineer, Data Platform

San FranciscofulltimemidAdded 1 month ago

About this role

OpenEvidence is seeking a Data Platform Software Engineer to develop comprehensive systems for critical product and research workflows, emphasizing performance and scalability. The role offers a unique opportunity for engineers to take full ownership of projects, impacting healthcare decisions for clinicians nationwide.

What you'll do

  • Build end-to-end systems for product and research workflows
  • Focus on performance, scalability, and accuracy
  • Take ownership of infrastructure impacting clinical decisions
  • Collaborate across various products and projects
  • Drive significant impact in the medical AI field

What they're looking for

  • Expertise in software engineering
  • Strong problem-solving abilities
  • Experience with performance optimization
  • Ability to work autonomously
  • Team collaboration and communication
  • Experience in medical AI (preferred)
  • High level of ambition and motivation
  • Low-ego and hard-working attitude

Benefits

  • Work in a dynamic, high-impact environment
  • Join a rapidly growing medical AI platform
  • Collaborate with a talented engineering team from top universities
  • Opportunity for significant personal and professional growth
  • Engage in end-to-end ownership of projects
  • Work in an innovative company with a focus on impacting millions of lives
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OpenEvidence

OpenEvidence builds a widely-used medical AI platform that serves healthcare providers globally, helping clinicians make better medical decisions. The company is hiring for infrastructure, backend, security, data platform, and product engineering roles to build and scale mission-critical systems supporting their healthcare AI platform.

View all jobs at OpenEvidence

Likely interview questions

  • Walk us through a time you designed and built an end-to-end system from scratch. How did you approach performance and scalability?
  • Describe your experience building data platforms or infrastructure. What technologies did you use, and what were the key challenges?
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