Technical Officer, IMACS (Remote)
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 Officer, who will play a central role in supporting the Technical Lead and other members of the IMACS team in designing, deploying, and documenting this system within DRC.
Role Summary
IMACS is seeking a short-term consultant, Technical Officer with a strong foundation in system integration, digital health architecture, and data-driven analytics. This role supports the full lifecycle of the Climate-Informed Early Warning System (CI-EWS)– from technical planning and research through deployment, testing, and documentation. The ideal candidate is detail-oriented, collaborative, and capable of operating across multiple country engagements while contributing meaningfully to modeling, dashboard development, and stakeholder coordination. Candidate must be based in Kinshasa.
Key Responsibilities
- Month 1:
- Engage country stakeholders as per country workplan and lead the operationalization of the DRC Climate-Informed Early Warning Surveillance (CI-EWS) coordination application, which has already been developed.
- Work closely with country stakeholders and collaborate with the IMACS engineering team to configure, localize, and refine the CI-EWS solution for the DRC context, including defining country-specific functional and technical requirements.
- Month 2:
- Lead the deployment of the system and support the integration and interoperability of the platform with existing national surveillance, health information, climate, and other relevant data systems.
- Deliver high-quality technical documentation, including system architecture, deployment guides, functional specifications, data models, and other supporting materials related to system configuration, modeling, and implementation.
- Month 3:
- Contribute to the design of workshop materials, training modules, and modeling components that support national capacity building.
- Lead and deliver training program in DRC related to CI-EWS as per country work plan.
- Month 4:
- Design and execute the technical sustainability plan, ensuring comprehensive handover documentation and alignment with national health system priorities.
- Cross-cutting activities:
- Cultivate and manage partnerships with Task Force for Global Health country consultant, technical experts, Ministry of Health counterparts, and Global Fund team and other technical assistance organizations through regular meetings.
- Prepare and present progress updates, technical briefs, and internal reports highlighting achievements, challenges, and lessons learned.
- Participate in other country meetings and field missions (where pre-approved) related to CI-EWS deployment and training.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, Health Informatics, Software Engineering, Epidemiology or a related discipline, with a minimum of 5 years of relevant professional experience.
- Hands-on experience in the in the architecture, engineering, development, deployment, or operationalization of digital surveillance systems, health information systems, data platforms, or enterprise-scale digital public health solutions.
- Proficiency in Python and React, with practical experience using modern AI development workflows, including Large Language Model (LLM) APIs, SDKs, CLI tools, prompt engineering, and agentic AI frameworks.
- Familiarity with machine learning concepts, applied AI tools, and the current landscape of data engineering frameworks.
- Track record of contributing to multi-stakeholder projects from planning through implementation, with the ability to manage competing priorities across workstreams.
- Effective communication skills across technical and policy audiences, with the ability to synthesize and present data-driven insights clearly.
- Excellent written and oral communication skills in English and French, including the ability to represent the organization externally and prepare materials for diverse audiences.
- Ability to build and maintain productive relationships with stakeholders across government, technology, and global health sectors.
- Willingness and ability to travel internationally.
Preferred Qualifications:
- Advanced qualifications in Machine Learning, AI, 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.
- Contributions to open-source digital public goods, data registries, or curated technology marketplaces.