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QED (https://qed.ai) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including in-situ nutrient analysis of crops and soils, and surveillance of HIV and malaria at national-scale in multiple African countries. Our funding comes from multiple philanthropic and governmental organizations such as the Gates Foundation, U.S. government, WHO, the EU, the Global Fund, and more. We are looking for a Forward-Deployed Data Analyst to work on health data systems and travel frequently to African countries such as Malawi, Cameroon, Cote d’Ivoire, Nigeria, Mozambique, and various other countries throughout the Global South. BACKGROUND Information is essential for host nations to manage their health systems effectively. and even more so in light of shifts in foreign aid funding. With complete, accurate, and near real-time data, health programs can continually focus efforts where most needed and improve their impact. Capturing high quality data affordably and at national scale has been an insurmountable task, until now. ScanForm, developed by private sector company QED.ai http://QED.ai, uses artificial intelligence to instantly digitize data from hand-written information on paper using an inexpensive handheld smartphone. It then instantly integrates that data with canonical health data systems such as DHIS2, OpenMRS, and others, and automates all analysis and reporting functions. The end result is fully digitized and individual data acquired at far less cost than traditional all-electronic approaches. QED.ai http://QED.ai is looking for a Forward-Deployed Data Analyst that welcomes the challenge of working with governments in Africa to lead high-impact change through ScanForm’s leapfrog technology. You will work directly with ministerial officers and international organizations on the construction of new digital health data pipelines based on ScanForm, starting with preliminary scoping and form design, and ending with full deployment at national scale. Logical reasoning, language fluency, emotional intelligence, clarity of communication, and cultural sensitivity are key. You’ll contribute to building well-structured, intuitive tools for capturing data efficiently. This includes standardizing identifiers for specimens, patients, diseases, diagnoses, and treatments. You will help ensure that data is captured on time, is automatically vetted for quality using logical rules of mathematics and public health, and that data is converted into dashboards that tell clear stories to identify actionable trends. You’ll work closely with end users to understand their needs and help them extract relevant information, including high-level stakeholders at the Ministry of Health and healthcare providers working in clinics and the community, always with the aim of achieving a large, meaningful impact that matters. You will also communicate, sharing stories of how ScanForm makes a difference for governments and their constituents. SCOPE OF WORK - Engage with Ministries of Health in Africa, as well as donor organizations such as the Centers for Disease Control (CDC), U.S. Department of State, UNICEF, to fully understand all current data processing workflows and pains, and governmental requirements for data capture and data analysis. - Build data capture and data management solutions for our clients, using training that QED provides. This design includes crafting of questionnaires, layout of data elements, visual aesthetics, and identifiers, while also being sensitive to client needs. - Help local and international agencies understand the many benefits of converting health systems to ScanForm. - Develop indicator dashboards analyses that support data use and public health decision-making, using peer-reviewed SQL and training that QED provides. - Communicate regularly, effectively, and in a timely mann