Bayesian Health is looking to improve patient outcomes by empowering clinicians with real-time data to make informed decisions, and this role is crucial to provide internal visibility into product performance that will drive expansion of clinical AI/ML module offerings and revenue growth.
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).
- 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.
- Experience in leveraging LLMs in distributed data processing and analytics systems (preferred).
- Experience building analytics technology for clinical/health data (preferred).
Responsibilities
- 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.
- 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.
- 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 by working closely with Client Success, Clinical, Product, Data Science, and Engineering to drive alignment on product analytics at the company level.
- Implement infrastructure, frameworks, and tools to improve client analytics, facilitate clinical case reviews, and support product investigation.
- Work closely with client success, product managers, clinicians, data scientists, and other software engineers to build infrastructure, frameworks, and tools.
- Lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools.
Other
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions.
- BS in Computer Science or other relevant technical discipline.
- 5+ years of experience in building scalable, secure analytics infrastructure and tools.
- Ability to work with sensitive data that contains PHI/PII.
- Ability to handle ambiguity and uncertainty in a startup (preferred).
