[Hiring] Software Engineer @Bayesian Health, Inc.

Role Description

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.

What you’ll do

• Work closely with other engineers, data scientists, clinicians, product managers, and client success partners to turn complex clinical data into reliable, actionable insights.
• Design pipelines and data models, build tools that help our teams monitor product performance and investigate clinical cases, and improve the platform as we expand to new products and health systems.
• 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.
• Drive improvements in data modeling, orchestration, data quality, and scalability as our products and client base grow.
• 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.
• 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.
• Set the standard for analytics company-wide.
• Work with Client Success, Clinical, Product, Data Science, and Engineering to define how we measure product success and ensure the data behind those measures is trustworthy.

Qualifications

• 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.
• Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight.
• 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.

Preferred qualifications

• Experience handling sensitive data that contains PHI/PII securely.
• Experience building analytics technology for clinical or health data.
• Experience handling ambiguity and uncertainty in a startup.

Company Description

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.

• Diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders.
• Funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital.
• Award recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.