Technical Advisor, Surveillance, Data Use and Decision Science (Remote - Kinshasa, DRC)

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we’ve worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day.
Resolve to Save Lives' Prevent Epidemics program works closely with Ministries of Health and national public health institutes in Africa to strengthen epidemic preparedness capacity, accelerate disease detection and response, and effectively use data to inform action. In addition to direct partnerships with governments, we also work with implementing partners, including the US CDC, the World Health Organization, the World Bank, and the Global Health Advocacy Incubator, to implement programs, prototype innovations, and ensure sustainability through increased national ownership, including domestic budget allocations.
Position Purpose:
RTSL is seeking a Technical Advisor for Surveillance, Data Use and Decision Science. This position aims to strengthen collaboration, governance, and the use of public health data to improve disease surveillance at the national and subnational levels. The advisor will provide technical support to the structures responsible for surveillance in the Democratic Republic of Congo (DRC), including the National Public Health Institute (INSP), its Public Health Emergency Operations Center (COUSP), the Directorate of Epidemiological Surveillance (DSE), disease control programs, and the National Institute of Biomedical Research (INRB), in order to use data to detect threats, track alerts, analyze 7-1-7 timelines, and guide public health decisions. They will develop simple, useful information products, train teams, and help identify delays in detection, notification, investigation, confirmation, and early response.
The position will be a part of the RTSL DRC team and will support national institutions, without substituting for their mandates. The Technical Advisor will work with national technical teams and contribute to the development of simple, useful, and prioritized information products. They will train teams and help identify delays in detection, notification, investigation, confirmation, and early response — particularly weekly epidemiological reports, situation reports or investigated events, as well as 7-1-7 analyses, epidemiological bulletins, and risk information products — in order to support decision-making that strengthens preparedness, response, and health security in the DRC. They will benefit from RTSL's technical support.
This is a one-year, renewable fixed-term contract with a 3-month probationary period.
Core Duties and Responsibilities:
Responsibilities will cover the full data lifecycle, including but not limited to:
Technical Support & Mentorship:
Collaborate with directors and decision-makers responsible for public health emergency management to identify data needs for decision-making
Provide direct coaching and technical assistance to relevant INSP staff responsible for developing priority information products, including 7-1-7 dashboards, based on consensus and approval from relevant managers
Identify bottlenecks related to the sharing, governance, and use of data relevant to public health emergency preparedness and response, and collaborate with relevant departments to address and resolve these challenges
Provide guidance, technical mentoring, and capacity-building support to INSP staff and other stakeholders in data management, analysis, visualization, and interpretation, particularly the 7-1-7 detection, notification, investigation, confirmation, and early response timelines
Strengthen capacities in data analysis and visualization, including statistical modeling and real-time dashboards, aiming to improve surveillance reporting and outbreak response through mentoring and structured training
Support the prioritization and design of information products among various stakeholders, both within INSP and with other national surveillance structures