Software Engineer, Full Stack

🕒 April 14

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Bayesian Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧬 Biotechnology

Artificial Intelligence • Healthcare Insurance • Biotechnology

Bayesian Health is a healthcare technology company that focuses on transforming healthcare data into actionable clinical insights through its adaptive AI platform. The platform enables Intelligent Care Augmentation, allowing caregivers to deliver proactive and higher quality care, ultimately resulting in improved patient health outcomes. With a foundation of extensive research in the field, Bayesian Health aims to empower physicians and care teams with real-time data to enhance decision-making and save lives.

📋 Description

• Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production. • Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build an end-to-end application in production quality grade and AI agents to optimize testing, debugging, and production maintenance. • Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows. • Develop comprehensive and robust automated end-to-end tests to ensure platform and application functional integrity, meeting the requirements of enterprise health systems and regulatory.

🎯 Requirements

• BS in Computer Science or other relevant technical discipline. • 3+ years of experience building and maintaining scalable and reliable full stack applications in production using modern front-end technologies (React and Typescript preferred). • 3+ years experience in developing and deploying end-to-end applications on a cloud platform (AWS preferred) powered by relational databases (e.g., Postgresql, MySQL, etc.) or cloud-based storages. • Experience with leveraging AI coding tools (e.g., Claude Code, Cursor, Codex) across the design, development, testing, and deployment lifecycle. • Experience handling ambiguity and uncertainty in a startup. • Experience shipping AI/ML products in healthcare and/or at startups. • Experience working cross-functionally with clinicians to align on workflow and product functionality expectations. • Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.

🏖️ Benefits

• Equal employment opportunities to all employees and applicants for employment