Data Engineer - Côte d'Ivoire
At a glance
Mid-level Data Engineering role at QED.ai. Côte d'Ivoire · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Create processing pipelines for medical data, then examine healthcare information gathered at national scale
- Use numbers and visual displays to make healthcare data easier to understand
- Apply programming and spreadsheet analysis to support work with healthcare data
What you bring
- You have experience programming and can use Excel or Google Sheets to examine figures
- You can speak, read and write clear English, and bring careful reasoning, puzzle-solving and attention to detail
- You type at least thirty-five words per minute and can work full-time for at least forty hours each week
Who this fits
This role suits someone interested in public health, thoughtful about the people represented in the data, and comfortable working with a team. The job is full-time and on-site in Côte d’Ivoire.
From the employer
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 artificial intelligence that empowers the intersection of aid and scientific inquiry, such as epidemiological surveillance and control of HIV, TB, and malaria. Our funding comes from philanthropic and governmental organizations such as the Global Fund, CDC, and the Gates Foundation.
We are looking for a data engineer to assist with both (a) the construction of medical data processing pipelines and (b) the analysis of national-scale healthcare data. Combine your reasoning skills with empathy for others to bring voice to the untold masses struggling to receive adequate health services across the Global South. Use numbers, technology, and visualizations to build data-driven stories that will change the world.
Basic Requirements
Interest in public health and using data to save human lives.
Strong logical reasoning and critical thinking skills, puzzle-solving skills, and attention to detail.
Experience with computer programming.
Fluency working with Excel spreadsheets / Google sheets, and analyzing numbers.
Proficiency in speaking, reading, and composing clear and correct English.
Typing speed of at least 35 words per minute.
Enthusiasm for information technology.
An eye for clarity in the visual presentation of data.
Full-time employment of at least 40 hours per week.
Good fluency in English speaking and writing.
Expressiveness, emotional intelligence, and team-oriented attitude.
And you have to care about the work that you do!
Nice to haves
Domain expertise, experience, or energetic interest in medicine and human health.
Experience working with databases and writing SQL queries.
Some experience with basic statistics, or monitoring and evaluation.
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