Data Manager

Data Manager

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We are seeking a full-time Data Manager to support a large, multi-site research program involving multi-modal data (including neuroimaging and genetics, as applicable). The Data Manager will lead day-to-day data operations across projects and partners, building and maintaining the systems, documentation, and workflows needed for secure, high-quality, interoperable datasets. The position requires a three-year, full-time commitment.

Responsibilities

• Lead and coordinate data management across the institute and partner sites to ensure consistent, harmonized practices and interoperable workflows.
• Build and maintain databases and secure data storage/sharing systems (access controls, version control, documentation).
• Manage secure data ingestion and transfers; maintain transfer processes, tracking, and compliance documentation (IRB/DUAs/HIPAA-aligned practices as applicable).
• Harmonize and integrate multi-modal datasets (IDs, timepoints, metadata, standardized formats) to support integrated analysis.
• Ensure data quality via routine audits, validation/cleaning workflows, and QC metrics.
• Develop and maintain preprocessing/scoring/QC pipelines and produce summary metrics/tables for reporting and deliverables.
• Coordinate with research computing/IT to optimize compute and storage workflows (CPUs/GPUs/HPC as needed).
• Support teams with data preparation/extraction for analysis; provide training and best-practice guidance as needed.

Required Skills and Abilities:

• Proficiency with R and/or Python, Git/GitHub (version control for scripts, documentation, and change tracking), experience with High-Performance Computing workflows specifically the software SLURM.
• Experience cleaning, verifying, documenting, and managing large datasets.
• Familiarity with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and applying them to research data documentation and sharing workflows
• Familiarity with best practices for working with high-risk data (privacy, secure storage, controlled access, compliant transfers). Must have some scientific background and understanding, not only data focused.
• Strong organizational, communication, and documentation skills; ability to work independently and proactively.

Preferred Skills and Abilities:

• Neuroimaging data standards/tools (e.g., BIDS, DICOM-to-NIfTI tools, fMRIPrep, FreeSurfer).
• Genetics/genomics tools and formats (e.g., VCF, PLINK, basic genomics QC workflows).
• Experience with IRB processes and data use agreements (DUAs).
• Experience developing or supporting web-based tools/portals for secure data access, exploration, and documentation.