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Data Engineer, Radiology

The Brigham and Women's Hospital, Inc. Boston, MA

Boston, MA

Today

$75k - $110k/yr Full time Python Clinical Data Engineering Cloud Workflows

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Job Description

Work with the Department of Radiology Research at The Brigham and Women’s Hospital to support imaging-driven research. This onsite role in Boston, MA focuses on harmonizing cancer imaging datasets into IDC-ready DICOM representations, scaling large-cohort analyses, and modernizing key imaging software components such as 3D Slicer. You will also develop advanced diagnostic MR image reconstruction software for image generation and motion compensation.

Compensation: $75,275.20 - $109,553.60 per year
Schedule: 40 hours/week
Shift: Day (United States of America)
Employment type: Regular
Work location: 75 Francis Street
Remote type: Onsite

Responsibilities

Harmonize contributed cancer imaging datasets (radiology, digital pathology, annotations, AI analysis results) into standard DICOM representations and prepare them for ingestion into IDC.
Develop and maintain open source Python and C++ tools for accessing IDC data and converting between DICOM and research formats, including idc-index, highdicom, dcmqi, wsidicomizer, and related packages.
Build and run cloud-based analysis workflows (Google Cloud, Terra, JetStream2) that apply open source AI analysis tools to large imaging cohorts and encode results as DICOM.
Develop and maintain agentic interfaces to IDC and apply agentic approaches to support the project and its users.
Contribute to modernization of the 3D Slicer architecture by implementing modules against revised core libraries, reimplementing capabilities as reusable packages, and developing tests.
Test and integrate components from collaborating institutions (DICOM validator, annotation infrastructure, DICOM standard tooling) and report defects upstream.
Prepare documentation, tutorials, example notebooks, and webinar materials; support users on the IDC forum.
Participate in team meetings; track work in GitHub.
Design, develop, and validate new software to meet project needs; analyze and help fill computer hardware requirements tied to the software development.
Optimize software performance to align with clinical objectives.
Write diagnostic software to test and ensure performance and accuracy of solutions delivered by the team.
Provide detailed analyses and diagrams as needed for manuscript preparation and grant submissions.
Perform onboarding and maintain workplace compliance/employability requirements.

Requirements

Bachelor’s degree required (Computer Science highly preferred).
Master’s degree in a related science/engineering field also highly preferred.
Advanced MR image reconstruction software development experience is essential.
Experience in advanced MR imaging reconstruction: more than 2 years required.
Experience in the medical field and patient care: more than 1 year preferred.
Proficient with Python, Matlab, C++, and AI frameworks like PyTorch.
Proficient in GPU and CPU multi-threaded programming.
Proficient with Linux, Windows, and Mac.
Comfort with MR reconstruction and analysis packages such as BART, XD-GRASP, SigPy, and FreeSurfer.
High attention to detail and strong communication skills, especially for documentation.

Technologies

Python, C++, DICOM, IDC, idc-index, highdicom, dcmqi, wsidicomizer
Google Cloud, Terra, JetStream2
3D Slicer, GitHub, Matlab, PyTorch
GPU, CPU multi-threaded programming, Linux, Windows, Mac
BART, XD-GRASP, SigPy, FreeSurfer

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