The Alliance for International Medical Action (ALIMA) is an international medical organization, founded in 2009. ALIMA’s aim is to provide a high standard of healthcare in situations of emergency or medical disaster and to improve the practice of humanitarian medicine by developing innovative projects associated with medical research. The specific feature of the association is to base its operating methods mainly on partnership with national medical players. By pooling and capitalizing on their skills, ALIMA and its partners give as many people as possible access to a high standard of treatment. Since its creation, the association and its partners have successfully developed in line with the increase in humanitarian medical needs, especially in Western and Central Africa: 580,000 patients treated in 2014 including over 25,000 hospitalizations, new governance between the partners of the medical NGO platform in the Sahel, new innovative approaches and operational research projects. ALIMA also responded to the Ebola emergency by opening a 40-bed Ebola treatment centre in Guinea. With operations in eight countries, 15 projects, over 1,200 employees and a budget of €19.5 million, ALIMA is a dynamic NGO, effectively deploying medical aid for the most vulnerable.
Job Purpose
- The Data Supervisor supports the INTEGRATE clinical research project by overseeing all data-related activities, including collection, verification, entry, analysis, reporting, and documentation, while ensuring data quality and integrity.
- The position works closely with the Medical Referent, Site Study Manager, CRAs, ICRC, the FMC Owo Laboratory team, and the wider ALIMA research team.
- This role offers an opportunity to gain experience in clinical research and work alongside multidisciplinary international teams. Regular training will be provided in clinical research methodologies and data systems.
Key Responsibilities
Data Management & Quality Assurance:
- Compile, verify, and enter study data from source documents within set timelines.
- Update and maintain databases and spreadsheets across the intervention site.
- Conduct regular data quality checks and ensure consistency between data sources.
- Ensure confidentiality and secure handling of all patient and research data.
- Review data for deficiencies or errors and correct incompatibilities.
- Produce weekly, monthly, and quarterly reports for the medical team.
- Ensure timely monthly BDD updates (within 5 days post-month-end).
Technical & Support Functions:
- Serve as a focal point for data-related requests from CRAs.
- Conduct site visits to validate data and ensure accuracy and completeness.
- Set up new databases and maintain existing mission data systems.
- Analyse datasets and provide concise weekly/monthly summaries.
- Advise on indicator achievements, epidemiological alerts, and data errors.
- Organize, store, and archive relevant documents according to protocols.
- Coordinate and supervise data collection and entry activities.
Professional Conduct & Research Compliance:
- Adhere to INTEGRATE Study SOPs, ALIMA policies, and confidentiality standards.
- Maintain up-to-date knowledge of study objectives and clinical research procedures.
- Collaborate effectively with CRAs and the broader research team.
- Undertake any additional duties required for the success of the study.
Other Responsibilities:
- Apply all IPC and safety protocols related to Lassa Fever.
- Participate in departmental meetings and contribute to team cohesion.
- Support awareness and understanding of Lassa Fever within the community.
Requirements
Education:
- Degree in Statistics or Computer Science; OR
- Degree in Health Sciences (Medicine, Nursing) with strong knowledge of epidemiology and statistics;
- A Master’s in Epidemiology or Public Health is an added advantage.
Experience:
- Minimum 2 years experience in data management and analysis.
Language:
- Excellent verbal and written English.
- Yoruba language skills are an added advantage.
Technical Skills:
- Strong proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook, Access).
- Excellent command of data tools/software: REDCap, DHIS2, Viedoc, R, Python, STATA, etc.
- Proven ability to design and manage medical data collection databases.
- Strong analytical and reporting skills; ability to work under pressure independently.
Other Qualities:
- Strong interpersonal and communication skills.
- High respect for confidentiality and professionalism.
- Excellent organization, multitasking, and team coordination abilities.
- Flexibility, creativity, autonomy, and a results-oriented mindset.
- Ability to work in a stressful and fast-paced environment.
Method of Application
Signup to view application details.
Signup Now
