Bayesian Health, Inc. logo

Software Engineer, Full Stack

Job Overview

Location

Remote - US Only

Job Type

Full-time

Category

Full-Stack Engineer

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As a Software Engineer, Full Stack at Bayesian Health, you will design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI/ML products that empower physicians and care teams with real-time data to improve patient outcomes in leading enterprise health systems.
  • • Day to day, you will collaborate with product managers, clinicians, data scientists, and engineers to integrate AI insights into intuitive clinical workflows, leverage AI coding tools to accelerate development, and build comprehensive automated tests to ensure platform integrity and regulatory compliance.
  • • Bayesian Health is a rapidly growing, mission-driven startup funded by top-tier investors including Obvious Ventures and Andreessen Horowitz, recognized by Forbes AI Top 50, World Economic Forum Tech Pioneer, and Time Best Inventions, dedicated to improving patient outcomes through data-powered clinical decision support.
  • • In this role, you will gain hands-on experience shipping AI-native healthcare products, deepen expertise in full-stack development with React/TypeScript and AWS, and contribute directly to life-saving clinical innovations while growing alongside a diverse team of clinicians, engineers, and ML experts.

Skills & Technologies

TypeScript
React
PostgreSQL
MySQL
AWS
Full Stack
Remote

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Bayesian Health, Inc. logo
Bayesian Health, Inc.
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About Bayesian Health, Inc.

Bayesian Health provides clinical AI software that integrates with electronic health records to deliver real-time early-warning and decision-support for conditions such as sepsis, deterioration, and patient safety events. Founded by Johns Hopkins researchers, the platform uses Bayesian learning models to analyze longitudinal patient data and generate interpretable risk scores for clinicians, aiming to reduce mortality, length of stay, and adverse events in hospitals.

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