Machine Learning Engineer for Women's Health and Neuro-Related Disease Detection
Join a stealth-mode HealthTech start-up as a Machine Learning Engineer to build advanced tools for women's health and neuro-related disease detection. Work on high-impact clinical problems in a fast-moving environment. Collaborate with public health, statistics, and data science teams.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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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