Technical Advisor, Surveillance, Data Use and Decision Science
R
Resolve to Save LivesPublic health surveillance
Remote - Kinshasa, DRCContractSenior
Salary not disclosed
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Job Details
- Languages
- Proficiency in English is a strong asset
- Experience
- Minimum of 8 years of experience in public health or related discipline in health data analytics, disease surveillance, or decision science
- Required Skills
- Data AnalysisData visualizationR
Requirements
- Master’s or PhD in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related field.
- At least 8 years of experience in public health or a related discipline in health data analytics, disease surveillance, or decision science.
- Experience in capacity-building, training, and mentorship of public health professionals.
- Strong understanding of public health data compilation, management, and analysis, including public health informatics.
- Advanced R skills, including data preparation, descriptive statistics, data visualization, and geospatial mapping.
- Intermediate proficiency in R Shiny and Quarto or Markdown for interactive applications and automated reports.
- Understanding of programming principles for organizing and executing complex data pipelines and information product generation.
- Knowledge of International Health Regulations (IHR 2005), Integrated Disease Surveillance and Response (IDSR), and One Health approaches.
- Experience engaging government agencies, development partners, and global health organizations.
- Proficiency in English is a strong asset.
Responsibilities
- Identify data needs with directors and decision-makers responsible for public health emergency management.
- Coach and provide technical assistance to INSP staff developing priority information products, including 7-1-7 dashboards.
- Identify data-sharing, governance, and use bottlenecks and collaborate with relevant departments to address them.
- Mentor and build capacity in data management, analysis, visualization, and interpretation, including analysis of 7-1-7 timelines.
- Support development of weekly epidemiological reports, epidemiological bulletins, situation reports, and risk information products.
- Improve data visualization dashboards, predictive analysis models, and automated reporting systems.
- Analyze 7-1-7 data and produce insights to guide decisions, identify bottlenecks, and prioritize rapid response fund activation.
- Organize training workshops and hands-on sessions for staff at national and subnational surveillance structures.
- Facilitate data-use strategies, data sharing, stakeholder engagement, and coordination among surveillance structures and other agencies.
- Provide technical support for strategic documents and guidelines on national surveillance architecture and data governance.
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