Bayesian Health
Software Engineer, Data & Analytics Platform
Remote - US Only · Remote · Full-time · Posted Oct 29, 2026
- Experience
- 5+ years.
- Education
- BS in Computer Science or other relevant technical discipline.
About the job
Build and scale the data and analytics platform that measures clinical AI product performance and provides reliable insights to internal teams and healthcare clients.
What you'll do
- Develop secure, scalable data lakehouse and warehouse pipelines, models, orchestration, and data quality.
- Build LLM-enabled tools and automation for self-serve insights and clinical case review.
- Track clinical AI KPIs and model performance across clients and modules, and define trustworthy measures of product success.
What they ask for
- BS in Computer Science or another relevant technical discipline.
- 5+ years building scalable, secure data or analytics infrastructure on a cloud platform for live products and customers.
- Proficiency in Python and SQL, and deep knowledge of modern data and analytics technologies.
- Experience leveraging LLMs in distributed data processing and analytics systems; strong communication and cross-functional collaboration skills.
Nice to have
- Experience securely handling PHI/PII or building analytics technology for clinical or health data.
- Experience handling ambiguity and uncertainty in a startup.
Tools
AWS, Python, SQL, dbt, Tableau, Quicksight, LLMs
AI focus
Use LLMs and automation to enable self-serve data insights; monitor the performance of clinical AI products and models.
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