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Software Engineer, Analytics

Bayesian Health Remote USA Remote USA Full Time Posted Sep 18, 2026

Job Overview

Software Engineer, Analytics 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 lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights.

Job 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.

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.

This role is crucial to provide internal visibility into product performance that will drive expansion of our clinical AI/ML module offerings and revenue growth.

Key Responsibilities

  • You will lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights.
  • 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.
  • What you'll do As a Senior Software Engineer, Analytics, you will work closely with client success, product managers, clinicians, data scientists, and other software engineers to build infrastructure, frameworks, and tools to improve client analytics, facilitate clinical case reviews, and support product investigation.
  • Responsibilities Product performance monitoring and optimization: Partner with client success and clinical product subject matter experts to implement the infrastructure, queries, and automation to monitor the KPIs and success metrics of our products across multiple clinical domains and clients.
  • Clinical case review and investigation : Build frameworks and tools to empower our clinical team to independently review and investigate clinical cases reported by our clients and identify cases with certain criteria that need further evaluation.
  • 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers.
  • Experience building analytics technology for clinical/health data.

Required Skills and Qualifications

  • Minimum qualifications BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for 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.
  • Experience working with sensitive data that contains PHI/PII.
  • 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 in leveraging LLMs in distributed data processing and analytics systems.
  • Experience building analytics technology for clinical/health data.
  • Experience handling ambiguity and uncertainty in a startup.

USA Jobs Today role summary

Role Summary

Software Engineer, Analytics at Bayesian Health is a remote United States position and is listed as Full Time.

You will lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights.

Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.

Application Checklist

  • Review the stated qualifications, including: + years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers. Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g.
  • Confirm that the official application page still lists the role as open.
  • Verify the work location and any United States eligibility or work-authorization requirements.
  • Tailor your resume to the responsibilities and qualifications stated by Bayesian Health.
  • Apply only through the official link shown on this page and never pay USA Jobs Today to submit an application.

Original job information is provided by the hiring organization or listed source. USA Jobs Today organizes source-supported details for readability without inventing salary, benefits, qualifications, sponsorship, or remote eligibility.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Bayesian Health is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.

Application Notes

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