About the position
The Clinical Terminology and Data Management Assistant supports the data manager and project teams by ensuring the integrity, organisation, and coding of research data for GVDN’s multi-country vaccine safety and effectiveness studies. This role focuses on diagnosis coding (e.g., ICD-10), data transfer and storage, and supporting REDCap and related data management processes. The role will help maintain data quality and consistency across diverse health systems.
Responsibilities
• Assist in developing, reviewing, and maintaining diagnosis code lists and mappings (e.g., ICD-10, ICD-10 variants, SNOMED, MedDRA) used across GVDN projects.
• Ensure coding lists align with study-specific case definitions and international frameworks (e.g., Brighton Collaboration, GAIA).
• Support the design and refinement of diagnosis-code–based screening definitions, under the guidance of epidemiologists and clinical experts.
• Identify deprecated or ambiguous codes and recommend updates to reduce misclassification.
• Help harmonise code lists across projects while maintaining study-specific analytic intent.
• Assist the transfer and integration of data from external sources into central databases (e.g., REDCap data transfers from local to central).
• Assist with data storage, organisation, and documentation to ensure data security and accessibility.
• Maintain audit trails and documentation for all data handling activities.
• Assist the Data Quality and Assurance Manager in preparing data for analysis and reporting.
• Work with Epidemiologists, Data Managers, and Clinical experts to ensure outcomes are operationalised appropriately in routine clinical data.
• Advise terminology and coding considerations affecting data screening and interpretation.
• Contribute to internal guidance documents, Standard Operating Procedure (SOPs), and technical notes related to coding and data management.
• Maintain clear documentation of coding decisions, version history, and rationale.
• Support quality assurance processes by reviewing diagnosis tables for internal consistency and traceability.
• Contribute to capacity-strengthening discussions with partner sites regarding good data management practices.
Requirements
• Bachelor’s Degree in Public Health, Health Informatics, Epidemiology, Life Sciences, or related fields.
• Experience working with coded clinical data (e.g., ICD-10) in research, surveillance, registry, or health systems contexts.
• Familiarity with REDCap and data management workflows.
• Strong attention to detail and organisational skills.
• Ability to communicate clearly with multidisciplinary teams.
Nice-to-haves
• Experience supporting medicine or vaccine safety, effectiveness, or post-authorisation surveillance studies.
• Familiarity with Brighton Collaboration, GAIA, or similar standardised case definitions.
• Experience working with data in African or other LMIC settings.
• Familiarity with data harmonisation approaches or common data models in multi-site research (interpretive perspective).