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• Provide support and oversight for the integration of indicator/event/community-based surveillance (IBS/EBS/CBS), antimicrobial resistance (AMR) and laboratory data streams across human and animal health, into national digital platforms (e.g., DHIS2, SORMAS), ensuring interoperability and alignment with global standards.
• Lead the development of interoperability architecture connecting DHIS2 with priority systems (e.g., LIMS, SORMAS, EWARS).
• Develop and maintain integrations between DHIS2 and other systems using APIs and web services.
• Build and optimize ETL pipelines for data extraction, transformation, and loading from multiple sources (including DHIS2).
• Implement data quality checks and ensure the integrity and reliability of data workflows.
• Design, develop, and maintain interactive dashboards using tools such as Power BI or Superset.
• Contribute and gradually lead the design and development of new applications or features using programming languages (Python, Java, JavaScript, or SQL).
• Work with regional and country teams to conduct assessments of surveillance architecture, data flows, and system interoperability across human and animal health sectors.
• Assist with the development of secure data-sharing protocols and governance frameworks to support multisectoral collaboration and sustainability.
• Collaborate with government stakeholders and partners to ensure HIS systems are responsive to national priorities and sustainably institutionalized.
• Facilitate regular data-sharing forums and technical workshops to review outputs, troubleshoot issues, and promote coordination across sectors.
• Support country and partner technical staff to ensure project activities are on track and informed by technical expertise.
• Review and revise project and donor reports; contribute to publications, external communications, and technical documentation.

• DHIS2 configuration and Web API
• DHIS2, SORMAS, or similar platforms for health data management & visualization
• Integration of at least two external systems (i.e. DHIS2, LIMS, LMIS, CRVS, surveillance)
• REST APIs, JSON, XML, interoperability standards, middleware platforms and SQL
• Power BI or Superset
• Python, Java, JavaScript, or SQL

• Master’s degree or international equivalent in information systems, health informatics, computer science, epidemiology, public health, or a related field.