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Senior Machine Learning Engineer (Healthcare AI/ML)

Harnham • United State
Remote
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AI Summary

Lead end-to-end machine learning initiatives for a healthcare tech company, building predictive models and recommendation systems that enhance patient access to clinical research. Own model development, deployment, and monitoring while collaborating with cross-functional teams. Requires 5+ years of ML experience, strong Python/SQL skills, and expertise in productionizing statistical models.

Key Highlights
End-to-end ownership of ML models from development to production monitoring
Focus on healthcare decision-making via predictive modeling and patient matching
High-visibility role with influence over product strategy and business outcomes
Key Responsibilities
Develop predictive models influencing healthcare decision-making and patient matching systems
Design and evaluate ML experiments to forecast enrollment and engagement outcomes
Monitor and optimize production model performance while collaborating with engineering teams
Partner with Product, Engineering, and business stakeholders to productionize ML solutions
Influence product strategy through data-driven insights and end-to-end ML ownership
Technical Skills Required
Python SQL Machine Learning
Benefits & Perks
Fully remote opportunity
Up to $190,000 base salary
Meaningful healthcare impact
Nice to Have
Healthcare, life sciences, or regulated industries experience
Forecasting, Bayesian methods, or advanced statistical modeling expertise
Experience in startup or high-growth environments

Job Description


Senior Machine Learning Engineer

Remote (US) | Up to $190,000 Base + Benefits

A rapidly growing healthcare technology company is hiring multiple Senior Machine Learning Engineer to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.

This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.

What You'll Be Working On

  • Building predictive models that influence healthcare decision-making
  • Developing patient matching and recommendation systems
  • Forecasting enrollment and engagement outcomes
  • Designing and evaluating machine learning experiments
  • Monitoring and improving production model performance
  • Partnering with engineering teams to productionize solutions
  • Influencing product strategy through data-driven insights

What We're Looking For

  • 5+ years of ML experience
  • Strong Python and SQL skills
  • Experience building and deploying predictive models
  • Statistical modeling expertise
  • Machine learning production experience
  • Strong experimentation and analytical thinking skills
  • Ability to communicate complex findings to non-technical stakeholders

Preferred Experience

  • Healthcare, life sciences, pharma, insurance, or other regulated industries
  • Forecasting, Bayesian methods, or advanced statistical modeling
  • Experience monitoring and improving production models
  • Startup or high-growth environment experience

Why This Role?

  • Fully remote opportunity
  • Up to $190,000 base salary
  • Meaningful healthcare impact
  • Strong leadership visibility
  • Opportunity to influence product direction
  • End-to-end ownership of machine learning initiatives
  • Join a business that has proven product-market fit and is investing heavily in growth

If you're a Machne Learning Engineer who enjoys building models that make it into production and drive measurable business outcomes, we'd love to hear from you.

Apply today or reach out directly for a confidential discussion.


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