Data Science Engineer

Institute for Safe Medication Practices (ISMP)

ECRI, in collaboration with ISMP, is a leading non-profit organization in healthcare quality and safety. They leverage over 50 years of expertise to safeguard patients through comprehensive research and an unbiased approach. ECRI stands as a trusted voice in the industry, priding itself on integrity, diverse collaboration, and innovative solutions to healthcare challenges.

In this role you can expect to have the responsibilities:

• Design and maintain scalable ETL/ELT pipelines using Python and SQL with GCP services.
• Implement best practices for data architecture and optimize data flows within cloud environments.
• Automate data workflows using Airflow for efficient processing.
• Develop and deploy machine learning models in Docker for real-time and batch scoring.
• Automate feature selection, model training, and retraining with Scikit-learn, PyTorch, and more.
• Collaborate with cross-functional teams to integrate ML models into production environments.

This role comes with the following benefits:

• Comprehensive healthcare benefits including medical, dental, and vision.
• Employer-matching 403(b) Retirement Savings Plan.
• Paid time off, holiday pay, and paid parental leave.
• Tuition assistance and access to LinkedIn Learning.
• Employee assistance and volunteer programs.

This role requires you to have:

• 3+ years in data engineering or cloud data architecture.
• 2+ years in machine learning and model automation.
• Proficiency in GCP services like BigQuery and Kubernetes.
• Expertise in Python and containerization with Docker.
• Hands-on with SQL, CI/CD, and version control.

You would benefit from having:

• Healthcare industry experience.
• Exposure to time series forecasting or MLOps practices.

ECRI promotes diversity and provides reasonable accommodations. They are committed to equal employment opportunities and adhere to strict non-discrimination policies.