MACHINE LEARNING DATA ENGINEER

All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored.

UW Medicine’s IT Services department has an outstanding opportunity for an Machine Learning Data Engineer!

UW Medicine’s Information Technology Services (ITS) department is a shared services organization that supports all of UW Medicine.  UW Medicine is comprised of Harborview Medical Center (HMC), UW Medical Center-Montlake (UWMC-Montlake), UW Medical Center-Northwest (UWMC-NW), Valley Medical Center (VMC), UW Neighborhood Clinics (UWNC), UW Physicians (UWP), UW School of Medicine (SOM) and Airlift Northwest (ALNW).  In addition, UW Medicine shares in the ownership and governance of Children’s University Medical Group and Seattle Cancer Care Alliance (a partnership between UW Medicine, Fred Hutchinson Cancer Research and Seattle Children’s).  ITS is responsible for the ongoing support and maintenance of the infrastructure and applications which support all of these institutions, along with the implementation of new services and applications that are used to support and further the UW Medicine mission.

In collaboration with UW Medicine IT Services (‘ITS’) and under the general guidance of the Director of Research IT, the primary focus of the Machine Learning Data Engineer (‘ML Data Engineer’) is supporting the development and delivery of informatics services for biomedical and clinical research projects in the partner organizations of the University of Washington, UW Medicine, and beyond

RIT is seeking a Software Developer to participate on the Innovation and Engineering Team within RIT.  The goals of this position are to improve mission critical operational support systems and enhance RIT’s ability to serve researchers using modern best practices for extracting information from clinical data using Machine Learning (ML) methods, with a focus on Natural Language Processing (NLP). This is an intensive effort with several critical milestones and deliverables.
Areas of responsibility include, but are not limited to: