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Medical Data Analyst



Basic Requirements

  • Dedication of at least 24 hrs/week.
  • Good fluency in English speaking and writing (typing > 35 wpm).
  • Critical thinking skills, expressiveness, and team-oriented attitude.
  • And you have to care about the work that you do!
  • Residency in Malawi or Kenya.
  • Experience with field work and coordination of field teams.
  • Fluency in multiple languages, including both English and local African dialects.
  • Emotional intelligence and strong face-to-face communications skills.
  • Experience and comfort with making public presentations.
  • High proficiency in speaking, reading, and composing clear and correct English.
  • English typing speed of at least 45 words per minute.
  • Strong logical reasoning and attention to detail.
  • Support QED applications by providing technical support (you will be trained) and assisting government officers with the regulation of data quality from the field. Identify problems, diagnose causes, and resolve or delegate them to appropriate staff with ticketing systems.
  • Helping customers map use cases onto platforms. Ability to listen carefully and translate desires into concrete requirements.
  • Compose and improve external and internal documentation about Company's products and projects.
  • Experience with _using_ information technology, and enthusiasm for technology.
  • Dedicate at least 24 hrs/wk, although full-time is preferred.

Nice to haves

  • Some experience with monitoring and evaluation, or computer programming, or statistics (but not necessary)
  • Experience or energetic interest in medicine and/or agriculture.
  • Experience with video screencasting.

Work with us and contribute to these projects

Coordination and management of ScanForm projects with our team, including malaria/HIV/COVID-19 surveillance, clinical trials, and vaccine delivery

Perks of working with QED

Unusual, socially conscious projects

Little bureaucracy

Travel to exotic places around the world!

QED provides mission-critical support to health and agricultural projects in 13 countries. We help our partners scale their operations by using software and artificial intelligence (AI).