- The Supervisor Medical Data Entry oversees and supports data entry staff, ensures data quality, and contributes to epidemiological surveillance, reporting, and decision-making during emergency and outbreak responses.
Nigeria Emergency Response Unit NERU Scenarios:
- Water Borne Disease: Cholera
- Vaccine Preventable Diseases VPDs: Diphtheria, Measles and Meningitis
- Viral Hemorrhagic Fevers VHFs: Lassa fever and Dengue
- Nutrition Crisis exacerbated by food insecurity, conflict, population displacements, and as a result of climate change
- Displacement Related Scenarios: Flood & Conflict/Violence
- Sexual and Gender Based Violence SGBV
- Mass Casualty Incidence/Planning
Accountabilities:
- Supervise, organize, and plan the work of medical data entry and data processing staff to ensure reliable recording of medical activities.
- Ensure collection, collation, and entry of medical data e.g. morbidity, mortality, epidemic surveillance, nutrition, SGBV, mental health into appropriate data management systems.
- Perform regular quality control of data entry and ensure accuracy, completeness, and consistency of data.
- Ensure proper and effective use of data management software and tools, including DHIS2, Epi Info, and Excel.
- Carry out regular data back-ups and ensure data security and confidentiality in line with MSF standards.
- Provide technical support and on-the-job training to data entry staff and medical teams involved in data collection.
- Produce regular statistical reports and situation updates for the medical team, highlighting missing data, trends, and major discrepancies.
- Set up and maintain data collection systems for inpatient and outpatient departments during emergency responses.
- Support epidemic surveillance activities, including line-list updates, graph production, and reporting on outbreak evolution, in collaboration with epidemiology teams and health authorities.
- Report any data management issues or system failures promptly to the NERU Epidemiologist and relevant mission focal points.
- Maintain proper organisation and filing of patient records and data management equipment, ensuring strict confidentiality.
- Demonstrate flexibility to cover data processing roles when required and support other activities according to project needs.
REQUIREMENTS QUALIFICATIONS / EXPERIENCE / KNOWLEDGE
Education
- Essential: Tertiary education or qualification in computer science, administration, data entry, statistics Desirable: Degree in Information Technology IT or a related discipline
Experience
- Essential: At least 1 year of working experience with MSF or 2 years of working experience with other NGOsExperience using DHIS2 Desirable: Experience using data analysis tools such as QGIS, Stata, or R
Languages
- Essential: fluent English Desirable: Hausa and/or Fulfulde Fulani working level
Knowledge
- Essential: Computer literacy Word, Excel, InternetMedical data management and use of DHIS2 Desirable: Knowledge of medical statistics databases and data analysis tools Stata, R analytical tool and QGIS
Competencies
- Results and quality orientationTeamwork and cooperationBehavioral flexibilityCommitment to MSF principlesStress management
