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Supervisor, Medical Data Entry at Medecins Sans Frontieres

Medecins Sans FrontieresEbonyi, Nigeria Data and Artificial Intelligence
Full Time
Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to people affected by armed conflict, epidemics, natural disasters and exclusion from healthcare. MSF offers assistance to people based on need, irrespective of race, religion, gender or political affiliation. Our actions are guided by medical ethics and the principles of neutrality and impartiality. A worldwide movement MSF was founded in Paris, France in 1971. Its principles are described in the organisation's founding charter. It is a non-profit, self-governed organisation. Today, MSF is a worldwide movement of 24 associations, bound together as MSF International, based in Switzerland. Thousands of health professionals, logistical and administrative staff - most of whom are hired locally - work on programmes in some 70 countries worldwide. Humanitarian action MSF's work is based on humanitarian principles. We are committed to bringing quality medical care to people caught in crisis, regardless of race, religion or political affiliation. MSF operates independently. We conduct our own evaluations on the ground to determine people’s needs. More than 90 per cent of our overall funding comes from millions of private sources, not governments. MSF is neutral. We do not take sides in armed conflicts, we provide care on the basis of need, and we push for independent access to victims of conflict as required under international humanitarian law. Bearing witness and speaking out MSF medical teams often witness violence and neglect in the course of their work, largely in regions that receive scant international attention. At times, MSF may speak out publicly in an effort to bring a forgotten crisis to public attention, to alert the public to abuses occurring beyond the headlines, to criticise the inadequacies of the aid system, or to challenge the diversion of humanitarian aid for political interests. Quality medical care MSF rejects the idea that poor people deserve third-rate medical care and strives to provide high-quality care to patients. In 1999, when MSF was awarded the Nobel Peace Prize, the organisation announced the money would go towards raising awareness of and fighting against neglected diseases. Through the Access Campaign, and in partnership with the Drugs for Neglected Diseases initiative, this work has helped lower the price of HIV/AIDS treatment and stimulated research and development for medicines to treat malaria and neglected diseases like sleeping sickness and kala azar.

Main Duties and Responsibilities

  • Ensure completion of all activities related to medical data entry and data management into the mission database. Supervise, organize and plan the activity of Data Entry officers/operators, as well as identify their training needs in order to provide a good service support and reliability of the data collected.
  • Supervise, organize and plan the activity of Data Entry officers to have a reliable record of medical activity performed, as well as identify their training/technical support needs in order to provide good service support and reliability of the data collected.
  • Ensure collation and entry of all data identified by project managers for collection (e.g. morbidity, mortality, surveillance of diseases of epidemics, nutrition, psychological and women’s health, etc) into the appropriate data management system while ensuring quality of data.
  • Do quality control data officers’ performance on a regular basis?
  • Know and ensure proper use of software used for recording (i.e. Fuchia, Epi Info, etc.).
  • Ensure the accuracy of the medical data entered into the mission’s database on a regular basis, according to MSF protocols and carry out regular back-ups.
  • Provide technical support to data entry officers/operators in project sites and give respond to their training needs.
  • Provide regular statistical reports for the medical team as well as inform the superior of any missing information, major changes or big differences in data

MSF Section / Context-Specific Accountabilities

  • Collecting data to support epidemiological activities in outbreak investigation (data on time, place, people with emphasis on mapping when it is needed) with support from Mission Epi.
  • Preparing and adapting routine documentation (survey forms, training materials, letters of request/notification, locally appropriate consent forms etc.) with support either of Epi Mission.
  • Managing data systems and ensuring accurate, high quality databases; analyzing results and preparing regular written reports on progress and findings for Project Medical Referent and when appropriate to external collaborators/networks (MoH, other NGOs, etc.)
  • Providing training sessions to medical teams on relevant aspects of data collection, management and epidemiology to enhance team response capacity.
  • In line with LGAs/sMOH, monitor and report to PMR news of the outbreak
  • Give technical support to medical doctors and nurses to indicate needed information in the patients files
  • Conduct and support in analyses of project data for the purpose of routine reporting and ad-hoc requests as needed.
  • Support organizing and archiving patients' file in the archive room
  • Drive the implementation and maintenance of new/existing data collection tools and processes (e.g., reviewing patient/data flow, reconciling data collection, encoding and entry for the purpose of monitoring and evaluating activities) with support from Mission Epi.
  • Timely identification of needs within the data team (associated with HR, learning and development, technical support etc.) to ensure high-quality data/data system management, ensuring that issues are promptly reported to Project Medical Referent/Activity Manager to address needs.
  • On a weekly basis or as needed, ensure that all project databases are diligently checked for any errors and eliminate bad data (redundant, incomplete, and incorrect data).

Minimum Required Skills and Qualifications


  • Essential proven computer literacy, secondary education or qualifications either in administration, data entry or in statistics.
  • A Degree in Information and Technology (IT) desirable.


  • Essential working experience of at least one year with MSF.

Method of Application

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