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QED.ai

Data systems and AI for health.

Forward-Deployed Data Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeMalawiNo salary listed

About the Job

Requirements

  • Working proficiency (ILR 4/5 or CEFR C1 or higher) in speaking, reading, writing, and typing in English; an official certificate is unnecessary, and proficiency will be assessed through a conversation.
  • For Francophone countries, at least B2 proficiency in French speaking, reading, writing, and typing is expected.
  • For Lusophone countries, at least B2 proficiency in Portuguese speaking, reading, writing, and typing is expected.
  • Must be willing to travel frequently and be physically based in the country of project implementation for at least 25% of the calendar year.
  • Logical reasoning, number sense, and creative problem-solving skills, including the ability to express quantitative ideas clearly orally and in writing.
  • Comfort using computers and digital systems.
  • Willingness and interest in working with people from other cultures.

Responsibilities

  • Engage with African Ministries of Health and donor organizations, including the CDC, U.S. Department of State, and UNICEF, to understand data-processing workflows, pain points, and governmental data-capture and data-analysis requirements.
  • Build client data-capture and data-management solutions using training provided by QED, including designing questionnaires, data-element layouts, visual aesthetics, and identifiers while accounting for client needs.
  • Help local and international agencies understand the benefits of converting health systems to ScanForm.
  • Develop indicator-dashboard analyses that support data use and public-health decision-making using peer-reviewed SQL and training provided by QED.
  • Communicate regularly, effectively, and promptly with in-country funders, host-nation governments, and QED central and regional leadership, particularly when challenges may require headquarters intervention.
  • Participate in discussions and seminars about ScanForm and health-system strengthening.
  • Help represent and present ScanForm at conferences.
  • Work directly with end users, including Ministry of Health stakeholders and healthcare providers in clinics and communities, to understand their needs and help them extract relevant information.
  • Help standardize identifiers for specimens, patients, diseases, diagnoses, and treatments; support timely data capture, automated quality checks using mathematical and public-health logic, and conversion of data into dashboards that surface actionable trends.
  • Communicate stories about how ScanForm affects governments and their constituents.

Desired Qualifications

  • For Francophone countries, C1 or higher French proficiency is preferred.
  • For Lusophone countries, C1 or higher Portuguese proficiency is preferred.
  • Some experience or exposure to health sciences, such as through biomedical engineering, public health, medicine, biology, or biochemistry.
  • Foreign-language skills, especially French, Portuguese, Swahili, Chichewa, or Chinese.
  • Experience with STEM olympiads, such as mathematics or informatics competitions.
  • Willingness to relocate to Sub-Saharan Africa long-term or permanently.

About the Company

QED.ai

Data systems and AI for health.

QED.ai builds data systems and AI solutions for health and agriculture to support humanitarian projects aligned with SDGs 2, 3, 6, and 15. It designs and deploys data platforms that help partner organizations collect, store, and analyze data, then uses AI-driven insights to inform policy decisions. Unlike generic tech vendors, it tailors its tools to local conditions and works closely with international projects to ensure real-world applicability. Its goal is to empower development actors with practical data-enabled tools that improve health, agriculture, and environmental outcomes while strengthening policy impact in low-resource settings.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Berkeley, CA
Founded
2008

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