Bayesian Health aims to make healthcare proactive by providing physicians, nurses, and care team members with real-time data to save lives. The company seeks to lead the development of its data infrastructure, pipelines, and tools to support research and real-time production applications, thereby expanding its clinical AI/ML module offerings and driving revenue growth.
Requirements
- 5+ years of experience in building and maintaining highly scalable and reliable production data systems on a cloud platform (preferably AWS).
- Deep knowledge in modern data platform technologies, such as cloud-based data storages and warehouses, real-time streaming and batch processing, transformation frameworks (e.g. dbt), workflow orchestration tools, and keen ability to integrate with existing infrastructure to enhance capabilities.
- Proficient in Python.
- Experience working with sensitive data that contains PHI/PII.
- Experience in leveraging LLMs in distributed data systems.
- Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.
Responsibilities
- Build a robust infrastructure capable of storing large volumes of data and supporting complex queries for production applications, research and analytics efficiently.
- Design, implement, and deploy reliable data pipelines and services that involve integration with electronic health records (EHR) systems using FHIR and HL7.
- Ensure sensitive data (i.e., PII/PHI) are transferred and stored in a secure manner, in compliance with guidelines such as HITRUST, SOC2.
Other
- Work closely with product managers, data scientists, and other software engineers to design and build data infrastructure, pipelines, and tools to enable research and real-time production applications that will drive expansion of our clinical AI/ML module offerings and revenue growth.
- Work closely with Product, Clinical, and Data Science to drive alignment and deliver impactful technology that saves lives.
- BS in Computer Science or other relevant technical discipline.
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (e.g., product, data science) to translate requirements into robust technical solutions.
- Experience handling ambiguity and uncertainty in a startup.
