Bayesian Health

Senior Forward Deployed Software Engineer, Full Stack

Bayesian Health(28 days ago)

HybridFull TimeSenior$163,839 - $217,629 (estimated)Engineering
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About this role

The Senior Forward Deployed Software Engineer, Full Stack at Bayesian Health leads the integration of the clinical AI platform with client electronic health records (EHR) while managing enterprise-level technical implementations. The role involves cross-functional collaboration with teams to optimize integration processes, develop automation tools, conduct end-to-end testing, and build the Forward Deployed Engineering team. Candidates should have extensive experience in full stack application development, cloud solutions, and experience with EHR systems and health IT interoperability standards.

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Required Skills

  • Client Implementations
  • Integration Strategy
  • Project Planning
  • Efficiency Optimization
  • Testing Plans
  • Team Building
  • Cross-Functional Collaboration
  • Full Stack Development
  • Technical Design Proposals
  • Cloud Solutions

+6 more

Qualifications

  • BS in Computer Science or other relevant technical discipline
  • 5+ years as a forward deployed engineer
  • 4+ years developing and deploying production quality full stack applications
  • Experience using cloud solutions (AWS, Azure, etc)
  • Experience with relational databases (Postgresql, MySQL, etc) in a production environment
Bayesian Health

About Bayesian Health

bayesianhealth.com

Bayesian Health is an innovative healthcare technology company dedicated to transforming healthcare through its AI-based clinical augmentation platform. The platform leverages advanced algorithms to deliver timely and actionable clinical insights, enabling healthcare providers to respond proactively to critical patient needs. By organizing and analyzing vast amounts of healthcare data, Bayesian Health aims to enhance patient outcomes and revolutionize the delivery of medical care. The company's mission is to empower physicians and care teams with the tools necessary to save lives through data-driven decision-making.

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