Teams at QED.ai

Leads ScanForm implementation in Côte d’Ivoire, serving as QED’s interface with ministries, donors, healthcare providers, and implementing partners. The role manages local teams, coordinates national-scale workplans, supports data-capture solution design, supervises dashboards and analyses, presents to stakeholders, and communicates project impact. Strong English and French proficiency, cultural adaptability, stakeholder management, public health knowledge, quantitative reasoning, emotional intelligence, and people-management experience are required.

As a Data Engineer at QED.ai, you will build medical data processing pipelines and analyze healthcare data to improve public health services in Sub-Saharan Africa.

Support field projects across health, agriculture, and education in Sub-Saharan Africa: engage with ministries and donors, build data capture and analysis solutions, train AI for nutrient detection using handheld spectrometers, and design/run national-scale STEM programs and contests. Work will be chosen based on interests and abilities.