Elizabeth Glaser Pediatric AIDS Foundation (EGPAF) Job – Data Management Officer- Clinical Service Improvement and Science (DMO-CSIS) Yaounde, Cameroon
The Data Management Officer- Clinical Service Improvement and Science (DMO-CSIS) is supervised by the Director of Public Health Evaluation and will receive technical oversight from Senior Technical Officers.
The Incumbent will support the evaluation and clinical support team in data management activities including data collection (development of electronic data capture tool, development of database), data processing (entry, cleaning, management) and data analysis of evaluation data in EGPAF Cameroon program. He/she will oversee the project’s databases and will perform data check and ensure data quality by generating listing of errors and sending data queries for correction.
He/she will report to the concept note lead and will work closely with the Technical Officer-CSIS, SI&E team, regulatory officer and evaluation data clerks.

Qualifications
Required Qualifications
- Experience in monitoring clinical and operational research data will be highly valued.
- Experience in clinical or operational research as data manager or data officer will be highly appreciated.
- Experience in management of electronic data collection software will be highly valued.
- Knowledge of statistical analysis software (Stata; SPSS; SAS; R). Excellent mastering of at least one is mandatory.
- Master’s degree in statistics, biostatistics, epidemiology or any other relevant domain.
- Justify solid knowledge in public health or in a relevant field.
- Knowledge and comprehension of human subjects’ research and of GCP.
Knowledge, Skills, and Abilities
- Ability to manage multiple tasks and projects while working as part of a team.
- Excellent communication skills
- Excellent teamwork skills.
- Computer competency including proficiency in Microsoft Word, Excel and PowerPoint.
- Excellent scientific writing skills.
Key Competencies Required by EGPAF for This Position
- Strong ethics and integrity.
- Decisiveness – The ability to make informed, effective, and timely decisions, even when data is limited or solutions may produce unpleasant consequences. He/She also understands the impact and implications of decisions.
- Customer Service – The ability to anticipate and meet the needs of internal and external customers while delivering high-quality products and services and committing to continuous improvement.
Key Responsibilities and Accountabilities
- Ensure that for all evaluation projects, high level statistical activities are conducted in compliance with relevant country level regulatory requirements and EGPAF standards.
- Communicate and collaborate with others evaluation team members to ensure consistency of statistical approaches across concept notes and alignment with evaluation approaches.
- Provide support, as needed, for the Data Management of the other research project protocols carried out by the foundation.
- Participate in capacity building by mentoring and teaching other junior staff important aspects of data quality in evaluations, including development of staff skills on data collection, data quality checks.
- Perform any other duties as may be assigned by the Director of Public Health Evaluations.
- Develop data collection tools and databases for specific evaluation project.
- Perform extraction of dataset from the central database for specific evaluations.
- Conduct data quality assessment in the study database and generate listing of errors or incoherence.
- Produce and send data queries to SI&E teams on sites and supervise data correction processes.
- Perform statistical analyses for planned data presentations and communications related to study (progress report, newsletter).
- Develop and maintain regular communication and collaboration with local and international investigators, the Cameroun Ministry of Health, and sponsor institutions, with the aim of providing timely updates to all relevant stakeholders.
This position is exclusively open to national candidates and will be filled under a consultancy contract.
Qualified candidates should submit a CV and cover letter by 4 June 2026 at the latest.
Only shortlisted candidates will be contacted.
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