Data Management Coordinator

University of Miami•Boca Raton, FL

5d•Onsite

About The Position

The University of Miami/UHealth Department of Neurology is hiring a part-time, temporary Data Management Coordinator to work at UHealth. The role reviews research administration proposals, awards, contracts and related data documents, and oversees and mentors junior staff to promote efficient, compliant work. The coordinator generates and analyzes reports, resolves bugs and data anomalies, supports statistical reporting, develops data-collection and analysis tools, transfers record ownership between databases, and helps improve reporting processes. Department-specific work supports CCBH clinical research data from REDCap collection through analysis-ready datasets in Azure. This includes longitudinal study data, neuropsychological assessments and multi-study datasets handled under HIPAA requirements. The position combines technical platform ownership with service to the research team, including exports, reports and study instruments. The coordinator builds and maintains REDCap projects and bilingual instruments, runs Python pipelines into Azure, maintains Synapse notebooks and Delta tables, standardizes and reconciles data across sources, maintains documentation and the data dictionary, and performs HIPAA-compliant de-identification and pseudonymization. The role also prepares datasets for research and grant work, supports recruitment and enrollment, manages an internal data-export application and reporting, and manages Azure resources and access. Duties may be expanded as necessary.

Requirements

High school diploma or equivalent.
At least 3 years of relevant experience.
Knowledge of the data lifecycle, including collection, storage, transformation, governance, archiving and retention, and its application to research data.
Experience with medical or clinical data, PHI, HIPAA, de-identification and IRB-driven data handling.
Knowledge of data quality and assurance practices, including validation checks, source reconciliation, discrepancy resolution and audit-ready data.
Ability to build and manage REDCap projects, instruments, branching logic, calculated fields, piping, longitudinal events and the REDCap API.
Expert Python with PySpark; ability to read, debug and extend existing pipelines and notebooks.
Understanding of Delta tables, including merges, schema evolution, time travel and medallion layering.
Comfort with Microsoft Azure, including Synapse, Data Lake Storage, Key Vault and resource permissions.

Nice To Haves

Relevant education, certifications and/or work experience may be considered.

Responsibilities

Review research administration proposals, awards, contracts and other relevant data documents.
Oversee and mentor junior staff to ensure efficient activities and compliance with applicable requirements.
Generate reports and analyze data for internal planning and reporting.
Identify and resolve bugs and data anomalies.
Analyze requests for customized reports and coordinate with user departments to resolve complex data problems.
Support compilation of statistical reports.
Develop forms and tools for data collection and analysis.
Conduct record ownership transfers between databases.
Promote appropriate reporting tools and efficient data-tracking and reporting processes.
Meet daily reporting requirements from relevant information systems.
Adhere to University and unit-level policies and procedures and safeguard University assets.
Build and manage REDCap projects, instruments and surveys, including bilingual English and Spanish versions.
Generate and manage participant GUIDs across studies and maintain the CCBH GUID Portal linking GUID, study ID, REDCap record ID and visit status.
Run Python pipelines that move REDCap and study data into the Azure data lake.
Maintain bronze, silver and gold Synapse notebooks using watermarking, metadata-driven transforms and Delta merge patterns.
Standardize study IDs across Clinic, CCBH, DPI and MCS sources and build composite keys from REDCap events.
Reconcile REDCap exports against lake data, identify mismatches and correct them at the source.
Manage study-specific Delta tables, including CBB, DLB, HBI and Clinic, with catalog and column documentation, and maintain the data dictionary.
Perform de-identification and pseudonymization using HMAC-hashed subject IDs while maintaining HIPAA compliance.
Build documented datasets for investigators and statisticians to use in analyses, papers and grant work.
Build participant lists and datasets to support recruitment, screening and study enrollment.
Maintain the internal data-export application, including Microsoft login, required export justifications and audit logging to Synapse.
Produce enrollment and retention reports, PDF compliance reports and ad hoc exports for the research team.
Manage Azure resources, access, Key Vault secrets and environment configuration.