Technical Advisor, Surveillance, Data Use and Decision Science

This is a fully remote position, open to applicants in Democratic Republic of the Congo.

📋 Description

• Enhance collaboration, governance, and the utilization of public health data for disease surveillance at both national and subnational levels in the DRC.

• Offer technical support to INSP, COUSP, DSE, disease control programs, INRB, and other national surveillance entities.

• Work alongside directors and decision-makers to ascertain data requirements.

• Coach and provide technical guidance to INSP staff in developing essential information products, including 7-1-7 dashboards.

• Identify and resolve challenges in data sharing, governance, and utilization.

• Mentor teams in data management, analysis, visualization, and interpretation.

• Enhance statistical modeling, real-time dashboards, surveillance reporting, and outbreak response capabilities.

• Assist in the prioritization and design of information products and data architecture initiatives.

• Support the establishment of data structures, automation of data processing pipelines, and national surveillance architecture guidelines.

• Create and refine weekly epidemiological reports, epidemiological bulletins, situation reports, and risk information products.

• Improve data visualization dashboards, predictive analysis models, and automated reporting systems.

• Ensure that data products are consistent with the One Health approach.

• Analyze 7-1-7 data and generate insights to inform decisions and prioritize the activation of rapid response funds.

• 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 the 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.

• Perform other related tasks as assigned by RTSL.

⛳️ Requirements

• Master’s or PhD in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related discipline.

• Proficiency in English is highly advantageous.

• At least 8 years of experience in public health or a related field focusing on health data analytics, disease surveillance, or decision science, preferably within a public health or government agency.

• Proven experience in capacity-building, training, and mentoring public health professionals.

• Strong knowledge of public health, data compilation, management, and analysis.

• Familiarity with public health informatics and the significance of data in health surveillance and emergency management.

• Advanced skills in R, 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 creation.

• Experience collaborating 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 effectively present complex information to non-technical audiences.

• Results-oriented and impact-driven, with a problem-solving mindset and keen attention to detail.

• Capability to work independently as well as collaboratively within a team.

• Ability to engage with stakeholders including government agencies, development partners, NGOs, donors, and multilateral organizations.

🏝️ Benefits

• Health insurance coverage for you and your dependents.

• Contributions towards retirement savings.

• Paid annual leave and sick leave, in addition to public holidays.

• Two paid, week-long organization-wide breaks at mid-year and year-end.

• Opportunities for professional development and home office setup benefits.

• Provision of up-to-date computer equipment.

• A supportive and connected remote team environment.

• Flexible remote work arrangement.