Software Engineer (Full Stack), AI/ML Products

Bayesian Health, Inc.

115d

About The Position

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. 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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Education Level: Bachelor's degree