Über diese Data Analyst II Radiation Oncology Stelle bei Mass General Brigham
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
The Dept. of Radiation Oncology is seeking a technically capable Data Analyst II to serve as the operational backbone of the laboratory. The Data Analyst's central mission is to bring order and rigor to the lab's growing data holdings: cataloging datasets, understanding and documenting data pipelines, and maintaining clear, dependable documentation so that fellows and trainees can find, trust, and correctly use every dataset — in full compliance with MGB and Harvard human-subjects and data-governance requirements.This is a hands-on role for someone comfortable with data and light scripting — not a purely administrative position. The ideal candidate combines technical fluency (file systems, data formats, basic scripting, version control) with strong organizational discipline and attention to regulatory detail. GPU responsibilities are scoped to coordination and monitoring rather than deep systems administration.
Qualifications
Data Governance, Cataloging & Documentation (primary focus)
- Build and maintain a living catalog/inventory of all clinical and multimodal imaging datasets, recording source, modality, size, provenance, associated IRB protocol and data use agreement, PHI/de-identification status, and version.
- Define and enforce consistent naming conventions, folder structures, and metadata standards across the lab's storage.
- Author and maintain data dictionaries, pipeline documentation, and onboarding guides so datasets are discoverable and correctly used.
- Serve as the single point of truth for “what data we have and under what terms it can be used.”
Data Pipeline Stewardship
- Understand, document, and help maintain data ingestion, de-identification, and preprocessing pipelines.
- Run and monitor de-identification workflows; validate data integrity and completeness.
- Manage dataset access permissions, versioning, and reliable backups.
Regulatory & Compliance Administration
- Prepare and track submissions to the Mass General Brigham IRB, including amendments, continuing reviews, and renewals.
- Manage data use agreements (DUAs) and material transfer agreements (MTAs) with collaborating institutions, coordinating with MGB Innovation/legal as needed and tracking expiration and renewal deadlines.
- Ensure lab-wide compliance with HIPAA and MGB/Harvard human-subjects (CITI) training requirements.
GPU Cluster Coordination & Monitoring
- Manage user accounts and quotas; monitor GPU utilization and storage capacity.
- Track and communicate scheduling/queue policies; flag contention and capacity issues.
- Coordinate with institutional IT and vendors on maintenance, patching, and security; maintain usage documentation.
Operations
- Onboard and offboard fellows and trainees (accounts, credentials, required training).
- Organize lab meetings and the shared calendar; maintain shared documentation/wikis; coordinate manuscript and conference submission logistics.
- Build and maintain the lab website — keeping team, publications, news, and project pages current.
Education
Bachelor's degree required. Computational, Biomedical, Information-science, or related field preferred.
Can this role accept experience in lieu of a degree?
Yes
Experience
Experience working with data, preferably healthcare data 2-3 years required
Knowledge, Skills and Abilities
- Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required.
- Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.
- Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.
- Project management skills and/or experience are a plus.
- Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.
Additional Job Details (if applicable)
Experience with DICOM research data-management platforms such as XNAT Required Qualifications
- Technical fluency: Comfort with file systems and data organization, common data formats, and light scripting (e.g., Python or shell) for data handling and automation.
- Data discipline: Demonstrated ability to organize complex datasets and produce clear, durable documentation.
- Detail & reliability: Strong organizational skills and attention to detail, especially around compliance deadlines and data integrity.
- Communication: Ability to work with fellows, trainees, IT, and administrators, and to write documentation others can follow.
Preferred Qualifications
- Experience with clinical or medical imaging data (e.g., DICOM, NIfTI) and de-identification workflows.
- Experience with DICOM research data-management platforms such as XNAT.
- Familiarity with Mass General Brigham / Harvard research infrastructure — IRB (Insight), the MGB IRB process, HIPAA, DUAs, and clinical data resources (e.g., RPDR, Epic/EDW) — or ability to ramp quickly.
- Experience with version control (Git), databases, or data catalog tools.
- Exposure to HPC/GPU environments, job schedulers (e.g., Slurm), or research computing.
- Prior research-lab or research-coordination experience.
- Basic web maintenance skills (e.g., Squarespace, WordPress, or static-site tools) for keeping the lab website current.
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$63,648.00 - $92,570.40/Annual
Grade
6
EEO Statement:
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.
