In Brief

• We’re an early-stage 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 develop and ship clinical ML/AI products for 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, ML Product, you will work closely with product managers, clinicians, data scientists, and other software engineers to develop and ship clinical ML/AI products for enterprise health systems. You’ll play an important role to expand and scale our clinical AI module offerings with a high impact on our company revenue growth

Responsibilities:

• Productionizing Models: Collaborate with data scientists to accelerate our ML/AI model development and deployment to production.
• Product Development: Implement backend APIs and ML services to enable our clinical AI products.
• Data Pipelining: Design, implement, and deploy health data pipelines and services for the ML products that integrate with electronic health record (EHR) systems using FHIR and HL7 communication standards.
• Cross Functional Collaboration: Work closely with Product, Clinical, and Data Science to drive alignment and deliver impactful technology that saves lives.

Minimum Qualifications

• BS in Computer Science or other relevant technical discipline.
• 3+ years of experience developing and deploying ML-based products and services in production (Python preferred).
• 3+ years experience in building and maintaining highly scalable and reliable cloud-based production ML systems (AWS, Google Cloud, Azure, etc.) with relational databases (Postgresql, MySQL, etc.).

Preferred Qualifications

• Experience shipping ML/AI products in healthcare and/or at startups
• Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.

Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.