Software Engineer, Analytics
Bayesian Health, Inc.10 months ago
Remote, United StatesSenior
Responsibilities
- Implement infrastructure, queries, and automation for monitoring product KPIs and success metrics across clinical domains and clients.
- Build frameworks and tools that enable clinical teams to review and investigate client-reported cases and identify cases requiring further evaluation.
- Improve the scalability and capabilities of the data platform and team analytics foundations.
- Drive product analytics alignment and development across Client Success, Clinical, Product, Data Science, and Engineering teams.
Requirements
- Bachelor of Science in Computer Science or another relevant technical discipline.
- At least 5 years of experience building scalable, secure analytics infrastructure and tools on a cloud platform, preferably AWS.
- Proficiency in Python and SQL.
- Deep knowledge of modern data and analytics technologies, including cloud data warehouses, transformation frameworks such as dbt, workflow orchestration tools, and BI tools such as Tableau or QuickSight.
- Experience working with sensitive PHI/PII data.
- Excellent communication and cross-functional collaboration skills, with the ability to translate requirements into robust technical solutions.
- Preferred qualifications include experience leveraging LLMs in distributed data processing and analytics systems, building analytics technology for clinical or health data, and working in an ambiguous startup environment.
About Bayesian Health, Inc.
Bayesian Health builds a real-time clinical intelligence platform that integrates with EHRs to detect patient deterioration and surface actionable guidance for clinicians. It sells enterprise software and services to hospitals and health systems, focusing on clinical decision support and workflow integration. The company is privately held and headquartered in New York City, and its platform emphasizes EMR interoperability and deployment across key inpatient use cases.