Data Analyst II Radiation Oncology

Data Analyst II

The Dept. of Radiation Oncology at Brigham and Women's Hospital 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.

• 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."

• 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.

• 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.

• 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)

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…