Senior Software Engineer, Analytics

Bayesian Health is an early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data. The Senior Software Engineer, Analytics will lead the development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enhance decision-making through better insights.

Responsibilities:

• Product performance monitoring and optimization: Partner with client success and clinical product subject matter experts to implement the infrastructure, queries, and automation to monitor the KPIs and success metrics of our products across multiple clinical domains and clients
• Clinical case review and investigation: Build frameworks and tools to empower our clinical team to independently review and investigate clinical cases reported by our clients and identify cases with certain criteria that need further evaluation
• Data platform and analytics technical foundations: Propose and implement foundational improvements and innovations to boost our data platform scalability with expanding products and clients and uplevel our team analytics capabilities
• Drive product analytics development cross-functionally: Work closely with Client Success, Clinical, Product, Data Science, and Engineering to drive alignment on product analytics at the company level

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