Software Engineer, Data & Analytics Platform

About the 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 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. Your work will give the company clear visibility into how our AI performs, which directly shapes how we grow our clinical AI offerings and support our clients.

Responsibilities

- Build the platform's foundations. Develop our data lakehouse and warehouse, with secure, scalable pipelines that bring our data together to power analytics and machine learning. As our products and client base grow, you'll drive improvements in data modeling, orchestration, data quality, and scalability.

- Enable self-serve insights with LLMs and automation. Create tools and frameworks that let our Clinical, Client Success, and Product teams get answers from our data without writing queries, from reviewing and flagging clinical cases to uncovering trends and opportunities.

- Power performance monitoring for our clinical AI. Design pipelines and data models that automatically track KPIs and model performance across every client and clinical module we support, using real-time EHR data that is messy and heterogeneous.