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QED.ai

Data systems and AI for health.

Country Lead

Program ManagementConfirmed 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.
  • For Francophone countries, at least B2 proficiency in speaking, reading, writing, and typing in French is required.
  • For Lusophone countries, at least B2 proficiency in speaking, reading, writing, and typing in Portuguese is required.
  • Must be willing to be physically based in the country of project implementation.
  • Ability to use computers and digital systems; coding or engineering experience is not expected, though it can be helpful.
  • Basic working knowledge of public health and computational arithmetic.
  • Experience managing people.
  • Experience working with governments and navigating regulatory processes, governance structures, and competing stakeholder interests.

Responsibilities

  • Serve as the frontline in-country interface for QED with ministerial officers and international organizations, manage expectations, and lead international teams in planning and executing workplans to design and deploy ScanForm at national scale.
  • Contribute to building well-structured, intuitive data-capture tools; standardize identifiers for specimens, patients, cards, pages, books, diseases, diagnoses, and treatments; and ensure data is captured on time, adheres to mathematical and clinical sensibilities, and is converted into dashboards that identify actionable trends and patterns.
  • Work closely 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.
  • Communicate stories about how ScanForm is making a difference in the country of work.
  • Engage with Ministries of Health and Agriculture and donor organizations to understand current data-processing workflows, pain points, and governmental requirements for data capture and analysis.
  • Help local and international agencies understand the financial and epidemiological benefits of converting health systems to ScanForm, including streamlined business processes and increased monitoring and evaluation; communicate cost-benefit arguments and analyses clearly and convincingly.
  • Manage and build local teams in target countries, listen to their needs, encourage them to share their thoughts, and provide support to staff who seek help.
  • Lead collaboration with other in-country Implementing Partners, as appropriate.
  • Communicate regularly, effectively, and in a timely manner with in-country funders, the host nation government, and QED central staff and offices, particularly when on-the-ground challenges may require headquarters intervention.
  • Lead discussions and seminars about ScanForm and health system strengthening.
  • Assist with co-designing data-capture and data-management solutions, including crafting questionnaires, laying out data elements, visual aesthetics, and identifiers in ways sensitive to client needs.
  • Contribute to and supervise development of indicator dashboards, queries, and analyses that support data use and public health decision-making.
  • Represent and present ScanForm at conferences and technical working groups.

Desired Qualifications

  • For Francophone countries, C1 or higher French proficiency is preferred.
  • For Lusophone countries, C1 or higher Portuguese proficiency is preferred.
  • Foreign language skills, especially French, Portuguese, Swahili, Chichewa, or Chinese.
  • Experience or exposure to natural sciences such as medicine, chemistry, biology, agronomy, or environmental science.
  • Past experience with data analysis and research to help inform data-driven workplans.

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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