Bayesian Health

Co-pilot for doctors and nurses — empowering clinicians with real-time care signals to manage outcomes and cost.

Senior Software Engineer, Analytics

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

66 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAWSCloudPythonSQLTableau

Job Description

• Lead the development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success. • Partner with client success and clinical product subject matter experts to implement infrastructure, queries, and automation to monitor KPIs and success metrics. • Build frameworks and tools for clinical reviews and investigations of reported cases. • Propose and implement foundational improvements for data platform scalability and team analytics capabilities. • Drive product analytics development cross-functionally with various teams.

Job Requirements

  • BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers.
  • Proficient in Python and SQL.
  • Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight, and keen ability to integrate with existing infrastructure to enhance capabilities.
  • Experience working with sensitive data that contains PHI/PII.
  • Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions
  • Experience in leveraging LLMs in distributed data processing and analytics systems.
  • Experience building analytics technology for clinical/health data.
  • Experience handling ambiguity and uncertainty in a startup.

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities

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