Lead Research Informatics Analyst - School of Nursing - Office of Nursing Research

About This Role

Leading the design, implementation, and management of data systems for multidisciplinary research studies is the core of this role. The Lead Research Informatics Analyst directs data management, analytics, and research operations, ensuring high-quality, compliant, and analysis-ready data across the full research lifecycle. This position suits someone who enjoys bridging research and technology, building systems that enable high-quality data, and contributing to meaningful, data-driven discoveries.

Responsibilities

• Lead efforts to ensure informatics systems support and advance the research objectives and mission of Emory University
• Work directly with researchers to document, analyze, and translate their needs into technical designs and informatics solutions
• Utilize standard software requirements and design practices to document informatics solutions to support a wide range of research activities across the university
• Lead project team from concept to closeout phase
• Apply biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes
• Manage, from a client business perspective, related systems projects
• Ensure a high level of client satisfaction by monitoring the delivery of ongoing information systems to the enterprise
• Design, build, and maintain research databases to support clinical, public health, and behavioral studies
• Lead data management activities across the study lifecycle, including study setup, data collection, validation, and closeout
• Develop and implement data quality monitoring frameworks, including validation rules, edit checks, and discrepancy resolution processes
• Collaborate with investigators and research teams to translate study protocols into data collection tools (e.g., CRFs, surveys)
• Assist with the on-boarding and training of study staff (clinical coordinators and data managers) to ensure data integrity and data provenance and associated documentation required from initial capture to final dissemination and publication
• Manage and integrate data from multiple sources (e.g., EDC systems, external vendors, surveys, device data)
• Perform data cleaning, transformation, and preparation for statistical analysis
• Develop queries, reports, and dashboards using tools such as SQL, Python, R, or other statistical software
• Establish and maintain data governance standards, SOPs, and documentation to ensure compliance and reproducibility
• Support regulatory compliance with applicable standards (e.g., GCP, HIPAA, NIH, institutional policies)
• Train and support research staff on data systems, workflows, and best practices
• Identify data-related risks and implement mitigation strategies to ensure timely and accurate deliverables