Data Manager at Kenya Medical Research - KEMRI

Key Responsibilities:

• Support, in collaboration with the NIH data support team, the development of the clinical trial database specifications, eCRFs, user requirements, edit rules/checks, query logics and data validation rules within the DF Discover system
• Develop and maintain data management plans, standard operating procedures for conducting data management activities for the trial including backup systems for power and internet
• Ensure quality and accuracy of data submitted from the study sites and assure timely entry and review of the database, query resolution and appropriate reporting and follow-up for all safety events by site personnel
• Create and maintain data management files, data dictionaries and other required documentation in compliance with the national and international standards, regulations and guidelines on data protection, governance and sharing
• Design and implement procedures for automation of data outputs and regular statistical reports and configure dashboards for data visualization and other products for information dissemination
• Provide training and mentoring to research staff and study teams on data management processes and mentor data clerks and interns
• Maintain study electronic devices such as laptops, tablets and other equipment used for data collection, ensuring data is secure and forms are updated as needed
• Extract data and perform regular reviews to identify issues, generate queries, communicate and track their resolution working with the program staff and supervisors for corrective action/query resolution in a timely manner
• Work with the Trial data management support team to ensure the EDC system can lock/unlock and freeze/unfreeze for statistical review, interim review and/or final database checks
• Ensure good internet connectivity for data entry at the trial sites and troubleshoot as needed
• Work with the study team to ensure that data reporting needs are scheduled and
• Manage and supervise the daily data collection at the field sites
• Participate in planning meetings and scheduled conference calls with the study team and study partners
• Perform additional duties as may be assigned by their supervisor

Vacancy Requirements:

• BSc in Computer Science, Biostatistics, Applied Statistics, or any other related field. A master’s degree will be an added advantage.    
• Excellent organizational skills, attention to detail and a focus on quality and innovation    
• Ability to prioritize work, exercise initiative and work with minimal direction    
• Ability to manage multiple studies of medium complexity or size concurrently    
• Adaptability to changes in work duties, responsibilities, and requirements    
• Excellent communication and problem-solving skills    
• Ability to work independently and collaboratively with colleagues, including research scientists

Closing date 19 May 2022