---
title: 'Software Engineer, Analytics at Bayesian Health, Inc.'
canonical: 'https://feeny.ai/job/software-engineer-analytics-bayesian-health-inc-united-states-h11kxer2a4qm'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer, Analytics at Bayesian Health, Inc.

- **Company:** Bayesian Health, Inc.
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-06
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/bayesianhealth/4c32de3a-78fd-4046-a70b-c2fa8b0417a7

## Job description

## 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.

## 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

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. 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.

## 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.
- Data platform and analytics technical foundations: Propose and implement foundational improvements and innovations to boost our data platform scalability with expanding products and clients and uplevel our team analytics capabilities.
- Drive product analytics development cross-functionally: Work closely with Client Success, Clinical, Product, Data Science, and Engineering to drive alignment on product analytics at the company level.

## 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. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight, and keen ability to integrate with existing infrastructure to enhance capabilities.
- 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.

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.

## About Bayesian Health, Inc.

## Company Overview
- **One-liner**: Bayesian Health provides a real-time clinical intelligence platform that uses AI to help health systems deliver proactive, high-reliability care by continuously monitoring patients and surfacing actionable insights.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: New York, United States
- **Founded**: Year not publicly specified; founded by Dr. Suchi Saria
- **Founders**: Dr. Suchi Saria (machine learning expert and health AI pioneer)

## Core Business
- **Primary industry**: Healthcare AI / Clinical Decision Support
- **Target customers**: B2B; large health systems and hospitals
- **Mission or purpose**: To raise the standard of patient care by enabling proactive, high-reliability care through real-time clinical intelligence, turning data noise into trusted, decisive action.

## Products & Services
- **Real-Time Clinical Intelligence Platform**: An AI-powered SaaS platform that continuously monitors every patient by reading the full electronic health record (EHR). It establishes each patient's baseline, detects meaningful changes, and surfaces only the patients who need attention with clear next steps. The platform targets top drivers of mortality and hospital utilization, including sepsis, deterioration, palliative care, transitions of care, heart failure, hospital-acquired pressure injuries (HAPI), and malnutrition. It is designed to integrate directly into the EHR workflow.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of **$15.2M** (as of July 2021)
- **Notable Investors/Partners**: Led by **Andreessen Horowitz** (a16z) in a $15M venture round (2021); also received a $225K grant from the **National Science Foundation** (2017). Partners with leading health systems.
- **Growth Signals**: Headcount grew **+34.3% YoY** to 38 employees. Received **FDA clearance** for the first continuous AI monitor for sepsis. Published a 5-site study in *Nature Medicine* showing an **89% reduction in mortality** and a **0.5-day reduction in length of stay**. Has 12 active job postings.

## Competitive Advantages
- **Clinician-Trusted Accuracy**: The platform flags patients **3+ hours earlier** than standard EHR alerts with **20x lower flag volume**, solving the "alert fatigue" problem that plagues other clinical AI tools. This drives adoption rates far above industry norms (e.g., one customer reported <1% adoption with other tools vs. high adoption with Bayesian).
- **Peer-Reviewed Validation**: Built on decades of research from Dr. Suchi Saria and published in top journals like *Nature Medicine*, with proven real-world outcomes (e.g., 89% reduction in mortality, 0.5-day reduction in length of stay across a 5-site study).
- **FDA Clearance**: Received FDA clearance for the first continuous AI monitor for sepsis, a significant regulatory moat.
- **Proven ROI**: Delivers measurable improvements in mortality, length of stay, and readmissions, making it a durable strategy for health systems rather than a disconnected initiative.

## Strategic Focus
- **Product Expansion**: Targeting top drivers of mortality and hospital utilization, including sepsis, deterioration, palliative care, heart failure, HAPI, and malnutrition.
- **Commercial Growth**: Scaling partnerships with leading health systems and expanding commercial reach.
- **Talent Acquisition**: Actively hiring across engineering, product, data science, and clinical roles to support growth.

## Why Work Here
- **Mission-Driven Impact**: Employees are directly involved in saving lives and improving patient outcomes at scale, with a clear focus on reducing mortality and hospital harm.
- **Culture**: Values include "Patients at the center," "Whole people, shared respect," "Truth seekers, stronger together," "No surprises, clear signals," and "Hard problems, real breakthroughs." The company emphasizes open debate, clear communication, and a high bar for excellence.
- **Work Environment**: Based in New York, NY, with a presence in Australia. The team is 79% US-based. The culture is described as collaborative, with a focus on solving hard problems.
- **Engineering & Science Focus**: The technical team makes up 26% of the workforce. The company is actively hiring for roles like Staff Machine Learning Engineer, Forward Deployed Software Engineer, and Director of AI/ML, indicating a strong emphasis on engineering and data science.
- **Notable Perks/Culture**: The company emphasizes "whole people, shared respect," making space for growth inside and outside of work. The mission is directly tied to saving lives and improving patient care.

## Sources
1. [bayesianhealth.com](https://www.bayesianhealth.com/)
2. [bayesianhealth.com/about](https://www.bayesianhealth.com/about)
3. [bayesianhealth.com/careers](https://www.bayesianhealth.com/careers/)
4. [linkedin.com/company/bayesian-health](https://www.linkedin.com/company/bayesian-health)
5. [jobs.ashbyhq.com/bayesianhealth](https://jobs.ashbyhq.com/bayesianhealth)

## Other roles at Bayesian Health, Inc.

- [Software Engineer, Application Integration](https://feeny.ai/job/software-engineer-application-integration-bayesian-health-inc-united-states-z2avdnb8p0cp) — United States
- [Software Engineer, Data Integration](https://feeny.ai/job/software-engineer-data-integration-bayesian-health-inc-united-states-p0fy30jbbzek) — United States
- [Infrastructure Engineer](https://feeny.ai/job/infrastructure-engineer-bayesian-health-inc-united-states-1d4f866wdtnx) — United States
- [Director of AI/ML](https://feeny.ai/job/director-of-ai-ml-bayesian-health-inc-united-states-4kfbjq24ac28) — United States
- [Client Success Account Executive, Clinical](https://feeny.ai/job/client-success-account-executive-clinical-bayesian-health-inc-united-states-bjbvhrfj7gv5) — United States
- [Senior/Staff Machine Learning Data Scientist](https://feeny.ai/job/senior-staff-machine-learning-data-scientist-bayesian-health-inc-united-states-eh6t1hnkk6h3) — United States
- [Clinical Integration, Nurse Consultant](https://feeny.ai/job/clinical-integration-nurse-consultant-bayesian-health-inc-remote-cvn0m89hd7y5)
- [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-bayesian-health-inc-remote-9cpdx5jh71xf)
- [Enterprise Growth Lead](https://feeny.ai/job/enterprise-growth-lead-bayesian-health-inc-remote-5kh5tv1cj544)
- [Software Engineer, Analytics](https://feeny.ai/job/software-engineer-analytics-aiven-helsinki-dbcz8qqsy12g) — Helsinki, Finland