Key Responsibilities:
Design and develop data entry forms and surveys using REDCap to ensure efficient and accurate data collection.
Implement branching logic, skip patterns, and validation checks within REDCap to optimize data quality.
Evaluating study data for protocol compliance
Develop and implement data management plans to ensure data accuracy, completeness, and integrity.
Oversee the entire data life cycle, including data collection, cleaning, validation and storage, to ensure the accuracy and completeness of study data.
Supervising verification of data, check and clean raw data as soon as it is uploaded or entered by field staff
Collaborate with study team members to establish and enforce data management protocols and standards.
Establish and maintain a secure and organized database for longitudinal cohort study data.
Regularly update and back up the database, ensuring data security and compliance with relevant regulations.
Creating and maintaining SOPs related to the management project data
Performing data query management, to identify and address discrepancies or errors promptly.
Monitoring study data to ensure the quality and completeness of the data submitted
Generating Quality Control reports for review and correction, as well as a variety of other reports as required.
Implement data quality assurance protocols to maintain the highest standards of data integrity.
Perform weekly summary reports for quality monitoring
Perform statistical analyses to derive meaningful insights from the longitudinal data.
Generate reports and visualizations to communicate findings to the research team.
Creating and managing data dictionaries, including updating and checking stored information related to the study, updating datasets and associated data dictionaries, as well as maintaining a record of data and variable updates (version control)
Create and maintain comprehensive documentation of data management processes, including data dictionaries, coding procedures, and variable definitions and updates.
Vacancy Requirements:
Bachelor's Degree in Computer Science, Data Science, Epidemiology, Biostatistics or Applied Statistics or any other relevant field from a recognized institution Mandatory
At least two (2) years of relevant research experience is an added advantage. Added Advantage
Strong statistical analysis skills using tools such as SAS, STATA, R, Python, or similar. Mandatory
Proficient in REDCap programming and customization. Mandatory
High level of competency in using Microsoft, Excel, Word, and PowerPoint Mandatory
Experience with data management tools and software e.g. Microsoft SQL server, Redcap, SAS or R, Mandatory
Strong analytical ability, planning, and organizational skills Mandatory
Excellent verbal and written communication skills. Mandatory
Ability to lead a team Mandatory
Analytical and report writing skills Mandatory