Bayesian Health

3 months ago

Software Engineer, Full Stack

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

We are seeking a full‑stack software engineer to build and deploy clinical AI/ML products for enterprise health systems. You’ll collaborate with product managers, clinicians, data scientists, and other engineers to design scalable front‑end and back‑end features, leverage AI coding tools, and ensure production‑grade quality and reliability across healthcare workflows.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Full Stack Product Ownership: Design, develop, test, deploy, and maintain robust and scalable full‑stack clinical AI modules in production.
•AI‑Native Development: 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.
•Technical Design and Scoping: Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows.
•Product Quality: 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.
•Minimum qualifications: BS in Computer Science or other relevant technical discipline; 3+ years experience with full stack production apps; 3+ years in cloud deployments; AI tools experience; startup ambiguity handling.

Key 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) 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:3+ yearsHealthcareSaaS

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solving

Tech Stack:ReactTypescriptAWSPostgreSQLMySQLClaude CodeCursorCodex

Company Brief

Bayesian Health

Provides an adaptive clinical AI/ML platform that integrates with EMRs to deliver real-time early-warning signals and workflow-integrated decision support for hospitals to detect deterioration, sepsis, pressure injuries and other adverse outcomes.

Industry: HealthTech

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2016

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Bayesian Health

3 months ago

Software Engineer, Full Stack

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Full Stack Product Ownership: Design, develop, test, deploy, and maintain robust and scalable full‑stack clinical AI modules in production.
•AI‑Native Development: 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.
•Technical Design and Scoping: Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows.
•Product Quality: 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.
•Minimum qualifications: BS in Computer Science or other relevant technical discipline; 3+ years experience with full stack production apps; 3+ years in cloud deployments; AI tools experience; startup ambiguity handling.

Key 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) 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:3+ yearsHealthcareSaaS

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solving

Tech Stack:ReactTypescriptAWSPostgreSQLMySQLClaude CodeCursorCodex

Company Brief

Bayesian Health

Industry: HealthTech

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2016

Glassdoor: 4.2

Website LinkedIn Glassdoor