Supervisor Medical Data Entry (nigeria Emergency Response Unit Ãâ¢ã‚â€ã‚â“ Neru)

• 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, Internet)Medical 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