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