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Bayesian Health · 4 months ago

Senior Software Engineer, Analytics

United States

Full-time

Remote

Senior Level

5+ years exp

Bayesian Health is an early-stage startup focused on transforming healthcare through real-time data. The Senior Software Engineer, Analytics will lead the development of analytics infrastructure and tools to enhance client success and product performance, working closely with cross-functional teams to drive insights and revenue growth.

Artificial Intelligence (AI)Health CareInformation Services

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

Qualification

Cloud analytics infrastructurePythonSQLData warehousingBI toolsPHI/PIICommunicationCollaboration skills

Required

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