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A public health and agriculture technology firm is looking for an Information Specialist to design data management solutions in Warsaw, Poland. This role involves working closely with health ministries and international organizations to improve data capture methods. Ideal candidates should have a background in library science or information architecture, be proficient in English and Polish, and possess strong logical reasoning and communication skills. International travel may be required.
QED.ai (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 philanthropic and governmental organizations such as the Gates Foundation, the Polish Ministry of Agriculture, EU funding, the Global Fund, and many more.
We are looking for an Information Specialist to join our team in Warsaw, Poland or Lilongwe, Malawi, to create effective and practical strategies for organizing vast troves of information in both the health and agricultural sciences.
The Global South and the African continent is peppered with vast mountain ranges of disorganized paper-based data. These handwritten forms are not going away anytime soon due to systemic weaknesses in electrical, networking, and computer infrastructure. And yet, every sector of government, including the Ministries of Health, Agriculture, and Education, desperately need data to optimize their programs under increasingly strained budgets.
At QED.ai we have been designing smart forms to electronically capture handwritten data at national scale. Now, we are looking for Library Science and Information Architecture students and graduates who welcome the challenge of organizing this growing body of information.
You’ll contribute to building well-structured, intuitive tools for capturing data efficiently, and standardizing unique identifiers for specimens, patients, cards, pages, books, diseases, diagnoses, and treatments. This data must be made searchable, sortable, and linkable to quickly identify trends and patterns. You’ll work closely with end users to understand their needs and help them extract relevant information.
Below are additional skills that are a bonus, but are not required:
For questions, write to info@qed.ai.