Health Informatics Officer – Data Integration & Analytics

About the role

The organization, an indigenous non‑profit focused on HIV‑related health outcomes in Nigeria, is seeking a Health Informatics Officer to lead data integration, analysis and reporting across multiple health information systems.

Key responsibilities

• Lead integration, cleaning and quality assurance of multi‑source health datasets (DHIS2, SORMAS, EMRs, surveys, genomic sequencing, etc.).
• Develop and maintain data pipelines and ETL processes using Python, R and SQL.
• Ensure compliance with the Nigeria Data Protection Act 2023, WHO data‑sharing protocols and ethical standards.
• Conduct statistical analysis, predictive modelling and forecasting for disease outbreaks and vaccine demand.
• Apply machine‑learning techniques (regression, time‑series, clustering, NLP, deep learning) to public‑health challenges.
• Design and implement real‑time dashboards and automated alert systems using Power BI, Tableau, R Shiny or Python equivalents.
• Provide technical support to epidemiologists, program managers and state/LGA health teams.
• Develop and deliver training modules on health informatics and data‑science tools.
• Conduct applied research and publish findings in peer‑reviewed journals or technical reports.
• Prepare analytical briefs, policy notes and visualisations for senior management, donors and stakeholders.
• Represent the organization in technical working groups on health informatics and data science.

Required profile

• Higher National Diploma or Bachelor’s degree in Health Informatics, Data Science, Biostatistics, Epidemiology, Public Health or a related field.
• Proven experience in health data integration, analysis and reporting, preferably in low‑resource settings.
• Experience working with health information systems such as DHIS2, SORMAS or EMRs.
• Demonstrated ability to apply statistical modelling, forecasting and machine‑learning methods to public‑health data.
• Familiarity with national data‑protection regulations and WHO data‑sharing standards.
• Strong written communication skills for preparing briefs and publications.

Required skills

• Python
• R
• SQL
• Power BI
• Tableau
• R Shiny (or Shiny for Python)
• Machine‑learning techniques (regression, time‑series, clustering, NLP, deep learning)
• Statistical analysis and predictive modelling
• ETL process development
• Data cleaning and quality assurance