
Senior Software Engineer, Analytics
Bayesian Health
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLcloud-based data warehousestransformation frameworksworkflow orchestration toolsBI toolsanalytics infrastructuredata modelingmonitoring metricsdata processing
Soft skills
communication skillscollaborationability to handle ambiguitycross-functional teamworkproblem-solving
Certifications
BS in Computer Science