Role overview
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 foods, 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 programmes, the Global Fund, and others.
We are looking for a Data Scientist to join our team in Warsaw, Poland working on ScanSpectrum (https://scanspectrum.qed.ai), a low-cost and handheld spectrophotometry kit being used to assess quality parameters of food and agricultural products.
- Working proficiency ( C1) in speaking and reading English, and capable of typing English with a speed of at least 45 words per minute.
- Logical reasoning and ability to express oneself clearly, both orally and in writing.
- Willingness and interest in working with people from other cultures. Emotional resilience and social intelligence to communicate and work with collaborators from around the world, including Europe, Africa, Asia, and the USA.
- Don’t be afraid of getting your hands dirty.
- … and you have to care about the work that you do!
Below are additional skills that are a bonus, but are not required:
- Prior experience with spectroscopy (Vis/NIR/MIR) and chemometrics in practice.
- Understanding of spectroscopy physics (e.g., overtones/combination bands, scattering, path length effects).
- Experience with calibration transfer, drift monitoring, or multi-instrument datasets.
- Domain familiarity: food chemistry, agriculture, grain quality, soil/plant analysis, lab reference methods.
- Domain knowledge and/or interest in the sustainable development goals, particularly in agriculture, climate change, public health, and/or assisting developing countries.