Software Engineer, Data & Analytics Platform

Company: Bayesian Health

Location: Remote - US Only (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-29

About this role

# Software Engineer, Data & Analytics Platform

### 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 to join the team to build and scale our data and analytical platform that tells us and our clients how our clinical AI products are performing in every hospital we serve. You’ll play an important role in shaping key technical decisions, building the data infrastructure our company and clients rely on, and see your work make a real difference in patient care.

### 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.](https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&__hssc=251652889.1.1710971833587&__hsfp=1890770568)

### What you’ll do

You’ll work closely with other engineers, data scientists, clinicians, product managers, and client success partners to turn complex clinical data into reliable, actionable insights. Day to day, that means designing pipelines and data models, building to...

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