Role overview
**HealthTech Start-Up | Fully Remote (US) | $200,000**
I’m supporting a stealth-mode HealthTech start-up that is building advanced tools for women's health and neuro-related disease detection. They're hiring a
**Machine Learning Engineer**
with experience working on healthcare or clinical datasets.
**Ideal Background:**
• 3–7+ years ML Engineering or Applied ML
• Strong Python + PyTorch/TensorFlow
• Experience with clinical datasets, biomedical signals, or healthcare ML
• Comfortable working in early research environments
• Able to collaborate with public health, statistics and data science teams
• Mission-driven (especially around women’s health or underserved conditions)
**What You’ll Work On:**
• Building and refining ML models for clinical research
• Working with statistical + clinical teams to validate model outputs
• Supporting research publications and early product development
• Helping shape the ML direction of a very small founding team
**Package:**
• Up to $200k (DOE)+ early equity
• Fully remote (US only, US Citizen or GC holders only)
If you want to work on high-impact clinical problems in a fast-moving environment, feel free to reach out.
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