Data Engineer, Radiology

Join a research-focused team at The Brigham and Women’s Hospital working at the intersection of cancer imaging, open-source tooling, and large-scale analysis. This onsite role (Boston, MA) supports harmonizing imaging datasets into IDC-ready DICOM representations, modernizing 3D Slicer components, and developing advanced diagnostic MR image reconstruction software, including image generation and motion compensation.

Work setup & role basics: Regular employee, 40 hours per week, Day shift. Location: 75 Francis Street. Pay range: USD 75,275 - 109,553 per year.

Responsibilities

• Harmonize contributed cancer imaging datasets (radiology, digital pathology, annotations, and AI analysis results) into standard DICOM, preparing 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 on Google Cloud using Terra and JetStream2 to apply open source AI analysis tools to large imaging cohorts and encode results as DICOM.
• Develop and maintain agentic interfaces to IDC, applying agentic approaches to support the project and its users.
• Modernize the 3D Slicer architecture by implementing modules against revised core libraries, reimplementing existing capabilities as reusable packages, and developing tests.
• Test and integrate components provided by collaborating institutions (including DICOM validator and annotation infrastructure), and report defects upstream.
• Prepare documentation, tutorials, example notebooks, and webinar materials; support users on the IDC forum.
• Track work in GitHub and participate in team meetings.
• Design, develop, and validate new software to meet project needs, including analyzing and helping fill computer hardware requirements.
• Optimize software performance to align with clinical objectives, and write diagnostic software to test and ensure accuracy and performance of solutions.
• Contribute detailed analyses and diagrams for manuscript preparation and grant submissions.
• Perform duties related to onboarding and maintaining workplace compliance/employability.

Requirements

• Bachelor’s degree required; Computer Science highly preferred.
• Master’s degree in a related science or engineering field is highly preferred.
• Experience in advanced MR image reconstruction software developments is considered essential.
• Experience in advanced MR imaging reconstruction: > 2 years required.
• Experience in the medical field and patient care: > 1 year preferred.
• Proficient in Python, Matlab, C++, and AI frameworks such as PyTorch.
• Proficient in GPU and CPU multi-threaded programming.
• Comfortable with Linux, Windows, and Mac operating systems.
• Good knowledge of MR reconstruction and analysis packages including BART, XD-GRASP, SigPy, and FreeSurfer.
• High attention to detail and strong communication skills, particularly 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.