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Revelation Pharma

Machine Learning Engineer

Revelation Pharma

Machine Learning Engineer designing, training, and monitoring ML models for healthcare applications. Owning model lifecycle management and collaborating with clinical teams for explainable models.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies
AWS

About the role

Key responsibilities & impact
  • Own the intelligence layer that makes Evergreen's agents clinically meaningful
  • Build the evaluation and validation framework for all agent-driven clinical recommendations
  • Develop patient risk stratification models for adherence prediction
  • Implement and manage the predictive analytics pipeline on AWS
  • Design and build the RAG architecture
  • Own model lifecycle management
  • Build explainability layers for clinical recommendations
  • Collaborate with the clinical team to translate clinical protocols and pharmacy domain knowledge into model features
  • Establish model monitoring and alerting

Requirements

What you’ll need
  • 6+ years in ML engineering or applied data science, with at least 3 years shipping ML models to production in a healthcare, biotech, or clinical domain
  • Direct experience building clinical decision support, risk stratification, or patient outcome prediction models
  • Production experience with LLM-based agent systems
  • Demonstrated ability to collaborate with clinical domain experts
  • Experience working in HIPAA-regulated environments
  • Track record of building explainable models in regulated contexts

Benefits

Comp & perks
  • Health care insurance (medical, dental, vision)
  • Life Insurance
  • Supplemental Insurance
  • PTO
  • 401K matching
  • Sick leave
  • Phone/internet reimbursement
  • Remote work
  • Top of the line machines

ATS Keywords

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Hard Skills & Tools
machine learning engineeringdata sciencepredictive analyticsrisk stratification modelsmodel lifecycle managementexplainable modelsLLM-based agent systemsclinical decision supportadherence predictionmodel monitoring
Soft Skills
collaborationcommunicationinterpersonal skills