We’re a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
You will lead the development of our 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.

Who We Are

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.

We’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.

Read more about our recent publication in Nature Medicine that associates our products with lives saved.

What You’ll Do

As a Senior Software Engineer, Data Platform, you will 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.

Responsibilities

Data infrastructure: Build a robust infrastructure capable of storing large volumes of data and supporting complex queries for production applications, research and analytics efficiently.
Data pipeline: Design, implement, and deploy reliable data pipelines and services that involve integration with electronic health records (EHR) systems using FHIR and HL7.
Data security and privacy: Ensure sensitive data (i.e., PII/PHI) are transferred and stored in a secure manner, in compliance with guidelines such as HITRUST, SOC2.
Cross functional collaboration: Work closely with Product, Clinical, and Data Science to drive alignment and deliver impactful technology that saves lives.

Minimum Qualifications

BS in Computer Science or other relevant technical discipline.
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.
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.

Preferred Qualifications

Experience in leveraging LLMs in distributed data systems.
Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.
Experience handling ambiguity and uncertainty in a startup.

_Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.