ML / Data Engineer – Data Science Enablement

We are seeking a ML / Data Engineer to support the Rare Disease Business Unit patient finding team by building scalable data and ML pipelines, productionizing machine learning models, and establishing robust evaluation and monitoring frameworks.

Requirements

• Build and maintain scalable data and ML pipelines
• Productionize machine learning models
• Design and implement model evaluation, validation, and monitoring frameworks
• Enable end-to-end ML lifecycle management
• Develop ML-ready datasets and feature pipelines
• Support model tracking and experiment management
• Build tools and utilities to monitor, track, and operationalize model outputs

Benefits

• Professional growth and development
• Collaborative work environment
• Opportunity to shape ML engineering and enablement standards at scale