Senior Data Engineer
Machine learning is on the verge of transforming healthcare, and the MGH & BWH Center for Clinical Data Science (CCDS) is at the forefront of this revolution. We are a fast-paced start-up embedded in two of the nation’s leading research hospitals, backed by industry partners like Nvidia and GE Healthcare. We have access to millions of medical records, an on-prem GPU cluster, and a top-tier team from industry and academia. We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.
The focus of our data engineering team is to enable the models we build to take advantage of the wealth of healthcare data available at Partners.
Enabling ready access to wide variety to healthcare data types for training
Providing tools and databases to enable cohort creation
Processing and warehousing time series data from bedside monitors
Fluent in Python or Go
Expert-level knowledge of relational, columnar, and NoSQL databases
Highly comfortable using asynchronous processing technologies (Kafka, RabbitMQ, Luigi, Airflow, etc.)
Have architected a data warehouse from the ground up
Experience mentoring junior engineers