Senior Software Engineer, AI/ML Product Analytics

August 28

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Bayesian Health

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Artificial Intelligence • Healthcare Insurance • Biotechnology

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.

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 Description

• 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.