Job Specifications
Site: The Brigham and Women's Hospital, Inc.
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
We are looking for a motivated, responsible, and self-directed Machine Learning Platform Engineer to maintain and enhance our cloud-scale ML platform. In this critical role, you will lead the integration of ML models with clinical workflows--particularly within Epic EHR systems--and implement best practices in ML Ops to ensure reliability, scalability, and reproducibility.
While experience with ML Ops/DevOps practices is beneficial, direct machine learning experience is not required. We prioritize enthusiasm, ownership, and eagerness to learn.
Principal Duties And Responsibilities
Maintain and continuously develop our ML platform, ensuring reliable operation and scalability.
Integrate ML models seamlessly into clinical workflows, with a particular focus on integration within Epic EHR systems.
Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility.
Facilitate the deployment, scaling, and management of dockerized pipeline containers
Lead the development and improvement of user interfaces (ReactJS)
Expand the ML platform's capabilities, including support for Large Language Models (LLMs).
Perform SQL-based data queries for efficient ingestion, extraction, and preparation of datasets.
Generate and maintain high-quality datasets tailored to ML research and clinical studies.
Oversee quality assurance processes, documentation standards, and best practices for the ML platform infrastructure.
Qualifications (1-4 Years Of Experience)
Data engineering, ML Ops, clinical integration, software engineering, or related roles.
Clinical informatics systems, particularly Epic EHR integration.
Familiarity with healthcare data standards and interoperability (HL7, FHIR).
Proficiency in Python programming.
Experience with frontend/UI frameworks, especially ReactJS.
Strong experience in containerization and orchestration using Docker and Kubernetes.
Familiarity with cloud services and microservice architectures (AWS or GCP, specifically services such as SQS, S3).
Understanding of software best practices, including version control (Git), continuous integration/deployment, and quality assurance processes.
Excellent communication skills, attention to detail, and the ability to collaborate effectively in a multidisciplinary team.
Summary
Job Summary
Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
Does this position require Patient Care?
No
Essential Functions
Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
Maintain and optimize various components of the data pipeline architecture.
Deliver high quality, efficient solutions to meet technical standards and industry best practices.
Deliver optimal technical solutions for business and operational requirements.
Participate in team design sessions and contribute options and solutions Produce and support product documentation.
Participate in ETL Quality circle discussions to explore, discuss, and arrive at efficient solutions and best practices.
Qualifications
Education
Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Data warehousing development in large reporting environment(s) 2-3 years required and Experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams ) required and Hands-on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required and Experience working in Agile software development environment required
Knowledge, Skills And Abilities
Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
Familiarity with enterprise data warehousing systems a plus.
Additional Job Details (if Applicable)
Remote Type
Hybrid
Work Location
75 Francis Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$73,798.40 - $107,400.80/Annual
Grade
6
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach
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 reflect...
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