Data Manager - Kisumu at Kenya Medical Research - KEMRI

Key Responsibilities:

• Read and understand the study protocol, and develop, review, and ensure adherence to study standard operating procedures (SOPs) in line with protocol requirements
• Develop and implement data management plans to ensure data accuracy, completeness, and integrity by strengthening data quality systems through routinely conducting data validation checks to flag out data queries and entry errors, thereby fostering concurrence and accuracy across all data collection and reporting systems
• Perform data quality checks and generate QC reports to enable prompt correction of discrepancies and Oversee data collection, cleaning, validation, and storage to ensure the accuracy and completeness of study data
• Plan, organize, and perform data quality audits; coordinate data cleaning through monitoring and evaluation activities; and verify data accuracy prior to the submission of all data reports
• Build the capacity of Data Officers to effectively manage and respond to various project data demands with competence and efficiency
• Train the study team on data collection tools, study tracking logs, and the use of the study database to ensure accurate and consistent data capture
• Design, develop, review, and maintain routine and ad hoc data collection tools including data entry forms, surveys, ODK, Excel, Epi Info, REDCap, and other databases to ensure efficient and accurate data capture
• Design, develop, and implement web-based and mobile health solutions to facilitate real-time data transmission, reporting, and information sharing
• Support the setup and maintenance of data-related hardware and network systems to ensure seamless data access, storage, and transmission
• Develop and implement project data mining scripts to automate data accuracy checks and generate reports on identified inconsistencies
• Ensure the monthly Performance Monitoring Plan (PMP) and performance dashboards are well-developed and aligned with project needs and integrated into the Decision Support and Electronic Health Records (DSEHR) system to enhance data-driven decision-making
• Establish and maintain a secure, organized database for longitudinal cohort study data to support accurate storage and retrieval of patient and project information.
• Ensure all data storage and handling practices comply with the Data Protection Act, 2019, including data confidentiality, restricted access, and proper documentation from the onset of data entry and storage
• Ensure project data and all related documents are securely stored in the designated physical or electronic repository mechanisms in accordance with organizational data governance policies
• Regularly update and back up the study database to prevent data loss and ensure continuous availability and integrity of data
• Prepare reports, dashboards, and visual summaries of project results using Power BI, Excel, Tableau, and other data visualization tools, and perform statistical analyses to derive meaningful insights from longitudinal data
• Ensure timely and accurate preparation and submission of project monitoring reports, including daily, weekly, monthly, quarterly, Data Safety Monitoring Board (DSMB), and sponsor reports, in alignment with reporting schedules and sponsor requirements
• Assist in the preparation of data summary slides and visual presentations for donors and project team meetings to support evidence-based discussions and decision-making
• Ensure compliance with regulatory requirements and ethical standards for data management and Attend to ad hoc data requests as may arise from time to time
• Collaborate with other members of the research team- Behavioral Care officers, Mentor mothers, Psychiatric nurses, data team, principal investigators, health facility staff, and larger Kargeno-research Hub staff
• Perform any other relevant duties as may be assigned from time to time to support project objectives and data management functions

Vacancy Requirements:

• Bachelor’s Degree in Computer Science, Biostatistics or Applied Statistics or any other related field from a recognized institution    Mandatory
• Two years’ experience in working with Electronic Health Record (EHR) Systems    Mandatory
• Experience using digital data collection platform    Mandatory
• Training in statistical packages/programs, preferably STATA, Excel, R and Python and statistical analysis will be an added advantage    Added Advantage
• High level of competency in using Microsoft, Excel, Word and PowerPoint.    Skills & Competencies
• Analytical and report writing skills    Skills & Competencies
• Presentation skills and a good Team player    Skills & Competencies
• Excellent organizational skills, Written |& verbal communication skills , attention to detail and focus on quality and innovation.    Skills & Competencies