Technical Lead, Climate-Informed Disease Surveillance

About IMACS The Institute for Health Modeling and Climate Solutions (IMACS), hosted by Malaria No More, is a center of excellence dedicated to building predictive intelligence for the world’s most vulnerable health systems. IMACS brings together advanced data science, artificial intelligence, and operational modeling to help countries anticipate , prepare for, and respond to infectious disease threats. Working at the intersection of high-resolution data infrastructure, machine learning, and public health decision-making, IMACS partners with governments and global institutions to strengthen surveillance, sharpen early warning capabilities, and accelerate evidence-driven response. Program Context With funding from the Global Fund and in partnership with The Task Force for Global Health , IMACS is providing structured technical assistance (TA) to strengthen national capacities for climate-sensitive disease early warning surveillance and response. Building on traditional surveillance, outbreak warning, detection and response systems, the TA 3 team will integrate high-resolution climate, meteorological, entomological, hydrological, and environmental data streams with established public health surveillance platforms. This integration will allow more accurate risk mapping, earlier detection windows for potential outbreaks, and proactive response planning. IMACS is seeking a Technical Lead with expertise in system integration and digital health architecture. Role Summary IMACS is seeking a Technical Lead with deep expertise in system integration, digital health architecture, and AI-driven analytics. This role is responsible for designing and deploying the Climate-Informed Early Warning System (CI-EWS), overseeing in-country data infrastructure, and ensuring sustainable technology transfer to government partners. The ideal candidate combines strong engineering capability with the ability to navigate complex stakeholder environments and translate technical solutions into practical public health tools. Key Responsibilities Lead in-country data pipeline development, dashboard and interface design, and API build and integration across partner countries. Architect and deploy scalable cloud environments; configure administrative dashboards and oversee structured handover to government technical teams. Conduct stakeholder consultations, key informant interviews, and field assessments in close coordination with country teams to ensure solutions are grounded in local context. Drive end-to-end CI-EWS deployment, testing, and iteration; develop the system maintenance roadmap to support full technology transfer to government ownership. Design and execute the technical sustainability plan, ensuring comprehensive handover documentation and alignment with national health system priorities. Cultivate and manage partnerships with technical experts, Ministry of Health counterparts, and Global Fund technical assistance organizations. Serve as the primary technical translator between Ministry of Health partners and the IMACS team, ensuring that CI-EWS tools account for existing workflows, infrastructure constraints, and operational realities. Prepare progress reports documenting achievements, challenges, and lessons learned. Travel internationally ( up to 5 0 %) to technical assistance countries as required . Qualifications Bachelor’s degree in Data Science , Computer Science, Statistics, Public Health Informatics, or a related discipline, with a minimum of 10 years of progressive professional experience in relevant roles. Demonstrated expertise in designing and deploying surveillance systems, data platforms, or health information systems at scale. Strong command of machine learning, applied AI, and the current landscape of data engineering tools and frameworks. Proven experience in product management or technology implementation in low- and middle-income country (LMIC) settings, with sensitivity to infrastructure constraints and connectivity challenges. Track record of leading complex, multi-stakeholder projects from concept through deployment and handover. Exceptional ability to communicate across technical and policy audiences, translating complex data concepts into actionable insights for decision-makers. Strong analytical, strategic, and problem-solving skills with a bias toward practical, results-oriented solutions. Excellent written and oral communication skills in English, including the ability to represent the organization externally and produce compelling materials for diverse audiences. Written and oral fluency in French is highly desirable. Demonstrated ability to build and sustain trusted relationships with senior stakeholders across government, technology, and global health sectors. Willingness and ability to travel internationally. Preferred Qualifications Advanced degree in Data Science, Computer Science, AI/Machine Learning, or a related field. Professional certifications in data engineering, cloud architecture, or data visualization are valued. Prior experience in global health, One Health, or data-for-development use cases. Familiarity with data governance frameworks (e.g., GDPR, HIPAA) and cybersecurity best practices relevant to health data. Experience designing and delivering technical training programs, bootcamps, or capacity-building initiatives. Contributions to open-source digital public goods, data registries, or curated technology marketplaces.