Founding ML Engineer (Stealth Healthcare Startup)

Company: Red Cell Partners

Location: Location not specified (Remote)

Type: Full-time

Level: mid

Remote: Yes

Posted: 2026-02-18

About this role

About Us
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.


About Stealth Healthcare Startup
We’re launching a women's health intelligence platform that delivers personalized, longitudinal care across every life stage. We're building what the healthcare system has failed to provide: a comprehensive view of women's health that connects the dots between symptoms, lab results, lifestyle factors, and the hormonal shifts that influence everything from mood and energy to fertility and cognition.


The Role


As an early Software Engineer, you'll be a key builder of the platform from day one. This is a high-impact role at an early-stage startup where you'll work across the stack—building features, integrating data sources, and contributing to the AI-powered systems that make our health intelligence possible.


You don't need healthcare experience—we'll teach you the domain. What we need is someone who's technically sharp, learns fast, ships code, and thrives in a scrappy environment where you'll touch everything from backend APIs to data pipelines to user-facing features. You'll grow quickly here, with direct mentorship and exposure to the full breadth of building a product from scratch.


What You'll Do


Build Core Platform Features
Develop backend services, APIs, and user-facing features across the platform. You'll work on everything from symptom tracking to lab result visualization to treatment recommendations.


Integrate Data Sources
Build integrations with wearables (Oura, Apple Health, Whoop, Garmin), lab providers, and other health data sources. Create pipeline...

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