Data Administrator, Lead

Georgia State University

TReNDS

The Center for Translational Research in Neuroimaging and Data Science (TReNDS) is focused on developing, applying and sharing advanced analytic approaches and neuroinformatics tools that leverage advanced brain imaging and omics data, with a goal of translating these approaches into biomarkers that can help address relevant areas of brain health and disease. Large scale data sharing and multimodal data fusion techniques are the underpinnings of our approach.

TReNDS is seeking (1) dedicated and experienced Data Administrator, Lead

WHAT MAKES Georgia State University GREAT PLACE?

• A flexible work environment
• Generous benefits, including health, dental, vision, tuition assistance, retirement, etc.
• A knowledge-sharing organization that works collaboratively with diverse partners.
• Professional development opportunities and mentorship
• A rapidly growing center within an academic setting

HERE IS WHAT YOU WILL DO

The essential duties and responsibilities of the Data Administrator, Lead are the following:

• Develop and maintain site-level data management plans, ensure compliance with IRB, HIPAA, and institutional data policies, and serve as the primary point of contact for data coordination and reporting.
• Oversee data curation, metadata, and provenance across data types; maintain data dictionaries and documentation; ensure datasets are structured and reusable.
• Align and harmonize data across modalities, scales, and timepoints; resolve site-specific data inconsistencies; support creation of integrated, subject-level datasets.
• Implement and monitor QC procedures; track data completeness, integrity, and versioning; support reproducible workflows.
• Coordinate with investigators, clinicians, and informatics teams and contribute to progress reporting and internal reviews.

Qualifications:

Minimum Requirements:

• Bachelor's degree and three years of related experience; or a combination of education and related experience.

Preferred Hiring Requirements:

• Ph.D. in Computer Science, Information Systems, Data Science, or a related discipline.
• Experience managing complex research datasets.
• Familiarity with research data governance and compliance requirements.
• Experience with multimodal or high-dimensional data.
• Experience working with clinical or neurobiological datasets.