Senior Technical Advisor, Data Use and Decision Science

Resolve To Save Lives

3d•$120,000 - $135,000•Remote

About The Position

Resolve to Save Lives (RTSL) is a global health organization that works with governments and partners to scale solutions to major health threats. Its Prevent Epidemics program partners with Ministries of Health and national public health institutes in Africa to strengthen epidemic preparedness, disease detection and response, and data-informed action. The Senior Technical Advisor, Data Use and Decision Science bridges complex epidemiological and contextual data with strategic public health action. The role works with in-country counterparts to develop analytics and information products that support decision-making, combining disease surveillance data with contextual data such as climate, environmental, risk, and vulnerability information. It also contributes to an Epidemic Intelligence training curriculum and a co-design workshop to strengthen national counterparts’ capacity in epidemic intelligence and systems thinking. The position collaborates with headquarters staff and in-country embedded teams on analytics innovations and delivery. It provides technical accompaniment, capacity building, and knowledge transfer to support sustainable, locally owned analytical and decision-support capabilities. The role also coordinates Collaborative Surveillance work, collaborates with global and country-level partners, evaluates program impact, and develops and disseminates surveillance innovations and operational learnings. This is a full-time, remote position for a fixed term of 24 months. The role reports to the Principal Advisor, Data Use for Decision Science, Epidemic Intelligence. Occasional in-person team meetings and travel of up to 20% are expected, with working hours that significantly overlap with partner countries across Africa.

Requirements

Master’s degree or higher in a relevant field, such as public health, epidemiology, informatics, or statistics.
At least 10 years of experience in infectious disease surveillance and analytics, public health emergency management, or equivalent experience.
Demonstrated experience designing, producing, and implementing end-to-end public health information products, such as epidemiological bulletins and outbreak situation reports; translating complex data into decision-ready outputs; and supporting sustainable handover through clear documentation and SOPs.
Demonstrated experience designing and delivering comprehensive capacity-building training programs for public health professionals, bridging technical skills with actionable, real-world decision-making.
Ability to technically accompany and mentor multidisciplinary in-country teams, build capacity to lead data-use projects, apply systems thinking and design thinking, and support progressive knowledge transfer and local ownership of analytical workflows.
Strong analytical and decision-making capabilities for strategy and execution, including in complex and ambiguous situations.
Proficiency in R and R Markdown/Quarto for data management, analysis, and automated information product generation.
Excellent communication, presentation, and interpersonal skills for engaging and influencing nongovernmental partners, civil society organizations, donors, and multilateral agencies.
Ability to work collaboratively in a highly matrixed environment with diverse internal and external stakeholders, demonstrating inclusiveness and active listening.
Ability to work effectively in a remote and distributed environment and provide high-quality technical accompaniment through virtual channels.
Fluency in English.
Ability to work in time zones with significant overlap with partner countries across Africa, such as WAT, CAT, or EAT.
Ability and willingness to travel up to 20%.
Able to work remotely and convene in person occasionally for team meetings.

Nice To Haves

PhD in a relevant field.
Familiarity with DHIS2.
Proficiency in French or Portuguese.

Responsibilities

Support epidemic intelligence activities that inform decision-making, including developing data-use products such as enhanced outbreak situation reports, periodic epidemiological bulletins, and executive dashboards, and implementing automated production pipelines.
Collaborate with in-country counterparts and cross-functional teams to map existing systems, data, and decision-making needs; identify Collaborative Surveillance implementation priorities; and support development of future surveillance architecture.
Provide hands-on technical accompaniment, mentorship, capacity building, and knowledge transfer to develop local talent and progressively transfer skills and ownership of analytical and decision-support capabilities.
Train in-country embedded teams to use DHIS2, Emergency Management Systems (EMS), R, and R Markdown for data management, analytics, GIS, and data product generation.
Work with a multidisciplinary team to develop a country Collaborative Surveillance workplan and budget, coordinate implementation, and produce strategic reports for leadership and donors.
Collaborate with global and country-level partners, including WHO, US CDC, and UNICEF, to streamline and align Collaborative Surveillance initiatives.
Provide technical oversight and methodologies to evaluate the impact of Collaborative Surveillance initiatives.
Lead consultative work to investigate and develop use cases for surveillance innovations, including wastewater surveillance, multiplex sero-surveillance, genomic surveillance, and sample registration systems.
Collaborate with the epidemic intelligence team to develop data-use innovations for decision-making, including applying artificial intelligence, novel contextual data, and advanced analytical methods to forecast risks and outbreaks.
Synthesize multi-country operational learnings and technical innovations into strategic dissemination products for the global public health community.