Senior Software Engineer, Analytics

Job not on LinkedIn

🕒 January 6

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 63%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bayesian Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

Healthcare • Artificial Intelligence • Healthcare Insurance

Bayesian Health is a healthcare technology company that focuses on transforming healthcare data into actionable clinical insights through its adaptive AI platform. The platform enables Intelligent Care Augmentation, allowing caregivers to deliver proactive and higher quality care, ultimately resulting in improved patient health outcomes. With a foundation of extensive research in the field, Bayesian Health aims to empower physicians and care teams with real-time data to enhance decision-making and save lives.

📋 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.

🎯 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