Software Engineer (Full Stack), AI/ML Products

Sorry, this job was removed at 10:21 p.m. (CST) on Friday, Oct 31, 2025
Hiring Remotely in United States
Remote
Artificial Intelligence • Healthtech • Machine Learning
The Role
Software Engineer (Full Stack), AI/ML Products

In Brief
  • 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.

  • We’re looking for a software engineer with a breadth of experience across technical stacks who’s eager to make an impact in the health AI space.

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 Software Engineer (Full Stack), AI/ML Products, you will work closely with product managers, clinicians, data scientists, and other software engineers to develop and deploy clinical AI/ML products for enterprise health systems. This role is crucial to drive expansion of our clinical AI/ML module offerings and revenue growth.

Responsibilities

  • Full stack product development: Understand and translate clinical product requirements into an optimal technical design to build world-class clinical AI applications for our end users.

  • Testing: Ensure product correctness and quality through comprehensive unit, integration, and end-to-end tests.

  • 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.

  • 3+ years of experience in developing and deploying production-quality full stack applications on a cloud platform (preferably AWS).

  • Experience with front-end frameworks (preferably React), API web services, and databases such as Postgresql, MySQL, and SQL Server.

  • Proficient in Typescript or Javascript.

  • 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 full stack application development and testing.

  • Experience with building health applications and integrating with electronic health records (EHR) systems.

  • 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.

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The Company
HQ: New York, New York
37 Employees

What We Do

Bayesian Health offers an adaptive AI/ML platform that forecasts declining trajectories within a hospital/health system’s patient population. The research-backed platform is designed to empower providers with the ability to identify and intervene with next-best actions in a timely way. This is accomplished by sending accurate and actionable clinical signals for a wide range of critical condition areas within the EMR and existing workflows. As a result, physicians and care team members are able to catch life-threatening complications much earlier, leading to better patient outcomes and reductions in healthcare costs. This pioneering approach is referred to as Intelligent Care Augmentation.

Why the name “Bayesian”? Optimal decision making relies on being good at pulling together lots of relevant data, knowing what to trust, integrating these data to create forecasts, and updating forecasts as new data arrive. That’s a Bayesian way of reasoning. Bayesian Health leverages best in class AI/ML techniques to enable this for care teams because decisions around our health deserve the best data and inferences.

Learn more at bayesianhealth.com.

Select Recognition:
- Times Best Invention 2023
https://time.com/collection/best-inventions-2023/6324389/targeted-real-time-early-warning-system/
- Forbes AI 50 2023
https://www.forbes.com/sites/konstantinebuhler/2023/04/11/ai-50-2023-generative-ai-trends/
- WebMD Health Heroes 2024
https://www.webmd.com/healthheroes/suchi-saria
- World Economic Forum Tech Pioneer 2023
https://initiatives.weforum.org/technology-pioneers/
- Women Leaders in Healthcare
https://www.modernhealthcare.com/awards/2024-women-leaders-suchi-saria
- Top 25 Innovators by Modern Healthcare
https://www.modernhealthcare.com/awards/2022-top-25-innovators-suchi-saria
- Top 50 in Digital Health
https://www.top50indigitalhealth.com/past-honorees

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