Bayesian Health

Senior Software Engineer, AI/ML Product Analytics

Bayesian Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudPythonSQLTableau

About the role

  • Early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data to save lives.
  • Lead development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success, product, clinical, and technology teams to uplevel decision making.
  • Work closely with client success, product managers, clinicians, data scientists, and software engineers to build infrastructure, frameworks, and tools to improve client analytics and support product investigation.
  • Implement infrastructure, queries, and automation to monitor KPIs and success metrics of products across multiple clinical domains and clients.
  • Build frameworks and tools to empower clinical teams to review and investigate clinical cases reported by clients.
  • Propose and implement foundational improvements to boost data platform scalability and analytics capabilities.
  • Drive product analytics development cross-functionally and align Client Success, Clinical, Product, Data Science, and Engineering.

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.
  • 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.
  • (Preferred) Experience in leveraging LLMs in distributed data processing and analytics systems.
  • (Preferred) Experience building analytics technology for clinical/health data.
  • (Preferred) Experience handling ambiguity and uncertainty in a startup environment.