Software Engineer, Full Stack
Bayesian Health - Remote - US Only, United States
Posted Apr 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Full Stack Remote - US Only, United States Software Engineer, Full Stack 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. - You will work closely with product managers, clinicians, data scientists, and other software engineers to build world-class clinical AI/ML products with direct positive impacts to frontline users within leading enterprise health systems. 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, you will be instrumental in the development and deployment of our clinical AI/ML products within leading enterprise health systems, involving close collaboration with product managers, clinicians, data scientists, and other engineers. Your contributions will be critical for expanding our product
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