Data Engineer, Radiology

Brigham and Women's Hospital; Boston (MA); On-site; USD 75,000 - 110,000; Full time

Job summary

Brigham and Women's Hospital is seeking a Data Engineer to harmonize cancer imaging datasets (radiology, digital pathology, annotations) into standard DICOM and prepare them for IDC ingestion. You will develop and maintain open source Python and C++ tools for accessing IDC data and converting between DICOM and research formats (idc-index, highdicom, dcmqi, wsidicomizer).

You will build and run cloud-based analysis workflows (Google Cloud, Terra, JetStream2) applying open source AI analysis tools

Qualifications

• Bachelor's degree required; CS highly preferred.
• Master's degree in science/engineering highly preferred.
• Experience with MR imaging reconstruction and medical context is advantageous.

Responsibilities

• Design, develop and validate new software to meet project needs.
• Analyze hardware requirements for software development.
• Optimize performance for clinical objectives.
• Write diagnostic software to test and ensure accuracy.
• Contribute analyses and diagrams for manuscripts and grants.
• Onboard and maintain workplace compliance.

Skills

Python

Matlab

C++

PyTorch

GPU programming

Multi-threading

Linux

Windows

MacOS

DICOM

Education

Bachelor's degree in Computer Science or related field

Master's degree in science/engineering

Tools

idc-index

highdicom

dcmqi

wsidicomizer

3D Slicer modules

DICOM toolkits

Job description

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.

Job Summary

• Harmonize contributed cancer imaging datasets (radiology, digital pathology, annotations, AI analysis results) into standard DICOM representation 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 (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, apply agentic approaches to support the project and its users.
• Contribute to the modernization of the 3D Slicer architecture: implement modules against the revised core libraries, reimplement existing capabilities as reusable packages, and develop tests.
• Test and integrate components developed by 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.

Qualifications

The Data Engineer will be responsible for developing advanced diagnostic image reconstruction software, more specifically, advanced software for Magnetic Resonance image generation and motion compensation.

Such developments include guiding hardware selection/purchase, setting up said computer equipment with the needed libraries and software environments, developing new software tailored to the needs of specific projects, documenting the methods and procedures used as part of these developments, correcting and validating the software being developed, and creating quality-assurance tests that evaluate the performance and accuracy of the new software. Although not directly related to programming skills, some degree of past experience in the medical field, especially as it relates to patient care, would be considered important, to help ensure the creation of software that remains well-grounded in practical needs and directly relevant to clinical objectives

Essential Functions (Key Roles & Responsibilities)

• To understand the projects' needs, and to design, develop and then validate new software to meet these needs.
• To analyze and help fill computer hardware requirements associated with the needed software developments.
• To optimize software performance to achieve levels compatible with clinical objectives.
• To write diagnostic software to help test and ensure the performance and accuracy of all software solutions developed here.
• To contribute detailed analyses and diagrams as needed for manuscript preparation and grant submissions.
• To perform all duties related to onboarding and to maintaining workplace compliance/employability.

QUALIFICATIONS

Education

Bachelors required. Computer Science highly preferred.

A Master's degree in a field related to science and engineering also highly preferred.

Work Experience

Experience in advanced MR imaging reconstruction > 2 yrs Required

Experience in the medical field and patient care > 1 yr Preferred

Knowledge, Skills and Abilities

• Proficient in programming languages such as Python, Matlab, C++, and AI frameworks like PyTorch.
• Proficient in GPU and CPU multi-threaded programming.
• Proficient with the Linux, Windows and Mac operating systems.
• Good knowledge and comfort level with some of the main available MR image reconstruction and analysis packages, such as BART, XD-GRASP, SigPy, and FreeSurfer.
• A high level of attention to detail, and good communication skills especially as they relate to documentation.

Additional Job Details (if applicable)

Remote Type

Onsite

Work Location

75 Francis Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range

$75,275.20 - $109,553.60/Annual

Grade

6At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth.

EEO Statement:

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.