Technical Advisor, Surveillance, Data Use and Decision Science

Resolve To Save Lives

. Strengthen collaboration, governance, and use of public health data for disease surveillance at national and subnational levels in the DRC .

Posted 10/3/2026contractRemote • Democratic Republic of the CongoSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in public health data analytics, disease surveillance, and capacity-building within health informatics. Proficient in advanced statistical modeling, data visualization, and the development of actionable public health insights.

Highest-signal resume keywords

Master’s Or PhD In EpidemiologyAdvanced R SkillsCapacity-Building And MentorshipPublic Health InformaticsExperience With Government Agencies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData AnalysisStatistical ModelingData VisualizationEpidemiological ReportingPredictive AnalysisGeospatial MappingData Processing PipelinesInformation Product GenerationEmergency Preparedness

Soft Skills

Excellent CommunicationAnalytical SkillsProblem-Solving AttitudeAttention To DetailInterpersonal Skills

Tools & Technologies

R ShinyQuartoMarkdown7-1-7 DashboardsAutomated Reporting Systems

Industry Keywords

Public HealthDisease SurveillanceInternational Health RegulationsIntegrated Disease Surveillance And ResponseOne Health Approach

About the role

Key responsibilities & impact

Strengthen collaboration, governance, and use of public health data for disease surveillance at national and subnational levels in the DRC
Provide technical support to INSP, COUSP, DSE, disease control programs, INRB, and other national surveillance structures
Collaborate with directors and decision-makers to identify data needs
Coach and provide technical assistance to INSP staff developing priority information products, including 7-1-7 dashboards
Identify and address bottlenecks in data sharing, governance, and use
Mentor teams in data management, analysis, visualization, and interpretation
Strengthen statistical modeling, real-time dashboards, surveillance reporting, and outbreak response capabilities
Support prioritization and design of information products and data architecture initiatives
Support data structures, automation of data processing pipelines, and national surveillance architecture guidelines
Develop and improve weekly epidemiological reports, epidemiological bulletins, situation reports, and risk information products
Improve data visualization dashboards, predictive analysis models, and automated reporting systems
Ensure data products align with the One Health approach
Analyze 7-1-7 data and produce insights to guide decisions and prioritize rapid response fund activation
Transform surveillance, epidemiological, and 7-1-7 data into actionable public health insights
Identify capacity-building needs and organize training workshops, seminars, and hands-on sessions
Facilitate implementation of a data use strategy
Strengthen data sharing and collaboration among surveillance structures, ministries, departments, agencies, and other sectors
Support routine surveillance and emergency preparedness team meetings, data-sharing meetings, multisectoral workshops, and data-sharing agreements
Carry out other related tasks assigned by RTSL

Requirements

What you’ll need

Master’s or PhD in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related field
Proficiency in English is a strong asset
Minimum of 8 years of experience in public health or related discipline in health data analytics, disease surveillance, or decision science, preferably within a public health or government agency
Demonstrated experience in capacity-building, training, and mentorship of public health professionals
Strong understanding of public health, data compilation, management, and analysis
Understanding of public health informatics and the importance of data in health surveillance and emergency management
Advanced R skills, including data preparation, descriptive statistics, data visualization, and geospatial mapping
Intermediate proficiency in R Shiny and Quarto or Markdown
Good understanding of programming principles for complex data pipelines and information product generation
Experience working with government agencies, development partners, and global health organizations
Strong understanding of International Health Regulations (IHR 2005), Integrated Disease Surveillance and Response (IDSR), and One Health approaches
Excellent written and verbal communication, analytical, report writing, presentation, and interpersonal skills
Ability to present complex information effectively to non-technical audiences
Results- and impact-oriented, with problem-solving attitude and attention to detail
Ability to work independently and as part of a team
Ability to work with stakeholders including government agencies, development partners, NGOs, donors, and multilateral agencies

Benefits

Comp & perks

Health insurance for you and your dependents
Contributions toward retirement
Paid annual leave and sick leave, in addition to public holidays
Two paid, week-long organization-wide breaks at mid-year and end-of-year
Professional development and home office setup benefits
Up-to-date computer equipment
Supportive, connected remote team
Remote work arrangement