Brigham and Women's Hospital

About the Company

Boston's Brigham and Women's Hospital (BWH) is an international leader in virtually every area of medicine and has been the site of pioneering breakthroughs that have improved lives around the world. A major teaching hospital of Harvard Medical School, BWH has a legacy of excellence that continues to grow. With two outstanding hospitals, over 150 outpatient practices, and over 1,200 physicians, we serve patients from New England, throughout the United States, and from 120 countries around the world. The BWH name is a reflection of our history. In 1980 three of Boston's oldest and most prestigious Harvard Medical School teaching hospitals - the Peter Bent Brigham Hospital, the Robert Breck Brigham Hospital, and the Boston Hospital for Women - merged to form Brigham and Women's Hospital. As a national leader in improving health care quality and safety, we have helped to develop some of the industry's best practices including computerized physician order entry (CPOE) to prevent medication errors. The CPOE is now a nationally-accepted safety practice. The BWH Biomedical Research Institute (BRI) is one of the most powerful biomedical research institutes in the world and the second largest recipient of National Institutes of Health (NIH) funding among independent hospitals in the United States. BWH has long had great success in research as measured by the number of important discoveries made, the size and scope of its research portfolio and the volume of publications annually. BWH is a training ground for physicians, nurses, and allied health professionals. We have 1,100 trainees in over 140 of the most sought after training programs in the world, and also host Harvard Medical School students in rotations throughout our programs. As our global health services expand, our clinical trainees have rich opportunities to contribute and learn in challenging environments around the world. Brigham and Women's Hospital is an EEO, AA, VEVRAA Employer.

Listed Jobs

Company Name

Brigham and Women's Hospital

Job Title

Machine Learning Platform Engineer

Job Description

Job Title: Machine Learning Platform Engineer Role Summary: Engineered and maintained a cloud‑scale ML platform that integrates predictive models directly into clinical workflows, especially Epic EHR. Focus on reliability, scalability, reproducibility, and adoption of ML Ops best practices. Expectations: • Deliver production‑ready ML infrastructure that supports rapid model deployment, monitoring, and versioning. • Collaborate cross‑functionally with data scientists, clinicians, and IT to ensure models meet clinical and regulatory standards. • Demonstrate ownership of platform components from design to operations, continuously improving performance and usability. Key Responsibilities: • Design, develop, and manage scalable ML pipelines, including data ingestion, transformation, and model-serving layers. • Integrate ML models into Epic EHR workflows and other clinical systems, utilizing HL7/FHIR standards. • Implement and manage Docker‑based pipelines, Kubernetes orchestration, and cloud services (AWS or GCP) for deployment and scaling. • Develop and maintain ReactJS‑based user interfaces for model monitoring, governance, and end‑user interaction. • Extend platform capabilities to support Large Language Models (LLMs) and advanced analytics. • Perform SQL queries for data extraction, preparation, and dataset generation. • Ensure rigorous QA, documentation, and compliance with software best practices (Git, CI/CD, testing). • Lead continuous improvement initiatives and contribute to platform architecture discussions. Required Skills: • Python programming (data engineering and ML tooling). • Docker, Kubernetes, and microservice architecture. • Cloud platforms (AWS or GCP) – S3/SQS, Elastic Container Service, or equivalent. • Frontend frameworks – ReactJS (UI/UX for ML platform). • HL7/FHIR, healthcare interoperability standards. • SQL and ETL/ELT concepts; experience with data pipelines. • Git version control, CI/CD pipelines, automated testing. • Strong communication, collaboration, and problem‑solving abilities. Required Education & Certifications: • Bachelor’s degree in Computer Science, Data Engineering, or related field (equivalent work experience accepted). • Professional certifications in cloud services (AWS/Azure/GCP) or relevant data engineering tools (e.g., Snowflake, dbt) are a plus.

Boston, United states

On site

Junior

05-10-2025