Bayesian monitors every patient continuously, surfaces only those who need attention, and gives clinicians the guidance to act — consistently, at scale. Backed by a16z.
About the role
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 tools that help our teams monitor product performance and investigate clinical cases, and improving the platform as we expand to new products and health systems. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS in Computer Science or other relevant technical discipline
- 5+ years of experience in building scalable, secure data or analytics infrastructure on a cloud platform (preferably AWS), serving live products and customers
- Proficient in Python and SQL
- Experience in leveraging LLMs in distributed data processing and analytics systems
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions
- Experience handling sensitive data that contains PHI/PII securely
More about this role
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.
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...
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