Data Officer

The Data Officer will oversee and manage data throughout the lifecycle of the IMCI-PLUS research study from the initial design phase to the final dataset delivery to the sponsor. The ideal candidate will leverage technical expertise to ensure high-quality, timely, and accurate data management that aligns with project goals and sponsor expectations.

Responsibilities

• To ensure protection, rights, safety, and well-being of the study participant.
• Develop a comprehensive Data Management Plan (DMP) outlining the data collection and processing workflow.
• Oversee and mentor data clerks and officers, providing training as needed.
• Design and maintain study source documents and Case Report Forms (CRFs).
• Build and manage the project's Electronic Data Capture (EDC) system and database.
• Perform regular quality assurance (QA) and quality control (QC) of CRFs and data entries.
• Communicate with the Project Manager on matters related to QC, supplies, and CRF updates.
• Lead the resolution of data queries and discrepancies.
• Coordinate eligibility meetings and track participant enrollment, providing daily status updates.
• Develop and maintain SOPs and user manuals related to data processes.
• Support staff in the use of CRFs and EDC tools.
• Manage inventory of data collection supplies and oversee proper data archival procedures.
• Ensure confidentiality and secure handling of participant-identifying information.
• Generate and submit regular QA/QC and weekly data reports.
• Review CRFs, define validation rules, and implement automated checks.
• Conduct internal data audits to ensure compliance with SOPs, regulatory standards, and best practices.
• Implement corrective and preventive actions for identified data quality issues.
• Ensure strict adherence to approved study protocols.

Skills and Competencies

• Strong command of statistical software's such as Stata, R, or Python
• Solid understanding of the full data management cycle
• Basic IT skills, including familiarity with server operations
• Working knowledge of Good Clinical Practices (GCP) and relevant regulatory frameworks
• Excellent written, verbal, and organizational communication skills
• Experience with Electronic Data Capture (EDC) systems, preferably ODK
• Strong problem-solving and troubleshooting abilities
• Attention to detail, high self-motivation, and ability to work independently
• Flexibility to work on additional tasks and extended hours when needed

Qualification and Experience

• Minimum of a bachelor's degree in Statistics, Applied Statistics, Biostatistics, or Computer Science.
• At least 2 years of experience in data management or a related role in a research environment

Job Opening date: 19-Aug-2025

Job closing date: 30-Aug-2025