Data Officer-Research Data Manager at Institute of Human Virology, Nigeria

Project Overview

• The Institute of Human Virology, Nigeria (IHVN), through funding from The Global Fund (GF), will be implementing the Grant Cycle 7 (GC7) grant, a combined TB &HIV effort pivotal to transforming TB & HIV programs. Under the leadership and coordination of the National AIDS and STDs Control Programme (NASCP), the National TB and Leprosy Control Programme (NTBLCP), and the National Agency for the Control of AIDS (NACA), this project will increase the identification of all forms of TB cases in the community and ensure prompt access to high-quality, patient-centered prevention and treatment through a Nationwide coverage of TB Public-Private Mix active TB case finding effort, and Community TB testing. The HIV component of the grant will focus on four states (Ebonyi, Anambra, Kwara, and Gombe) for end-to-end HIV comprehensive services, community PMTCT scale-up in all states, PrEP in the four GF-supported states and in other states where PEPFAR IPs will be operating, and support harm reduction program (specifically needles and syringes) in 12 states. Other focus areas include Health Systems Strengthening/Resilient and Sustainable Systems for Health (RSSH) and National level support activities

Position Overview

• The Data Officer/Research Data Manager will be responsible for overseeing the data management processes for the GF-GC7 research agenda.
• This position involves developing and maintaining data collection tools, ensuring accurate and efficient data capture, and implementing rigorous data quality control procedures.
• The Data Officer will coordinate with research staff, IT personnel, and data analysts to manage data entry, cleaning, and validation.
• Additionally, the role requires the design and management of databases, regular data auditing, and the preparation of data for analysis and reporting to stakeholders.
• The position ensures that all data is stored securely, adheres to confidentiality protocols, and is readily available for analysis and reporting purposes.

Key Responsibilities

• Develop and maintain data collection tools, including electronic data capture (EDC) systems, to ensure efficient and accurate data collection.
• Develop, review and adopt data management plan for project data collection
• Oversee the collection, entry, and storage of study data, ensuring adherence to study protocols and data management plans.
• Implement and monitor data quality control procedures to ensure accuracy, consistency, and completeness of data.
• Regularly audit data to identify and correct errors, discrepancies, or missing information.
• Provide training and support to research staff and site team on data management processes.
• Liaise with data analyst, biostatisticians and researchers to prepare data for analysis, including cleaning, coding, and organizing data.
• Support routine and ad-hoc reports of the project implementation progress to funders, and other stakeholders.
• Assist in the interpretation and presentation of data findings.
• Design and manage databases to store study data securely and efficiently.
• Ensure that databases are backed up regularly and that data integrity is maintained.
• Work with IT staff to troubleshoot and resolve any issues with data systems.
• Maintain comprehensive documentation of data management procedures and decisions.
• Support the development/review/update of standard operating procedures for data management practices
• Perform any other task assigned by the data lead for data management deliverables.

Deliverables:

• Database design and management
• Data entry oversight, cleaning and validation
• Data sharing and access management
• Data quality Assurance
• Ensuring data security and confidentiality

Education and Experience

• Academic: A minimum of a bachelor’s degree in data management, computer science, Information technology, Health Informatics, Medical statistics/Statistics/Biostatistics, Data Science, or a related field.
• A master’s degree in health informatics, medical statistics/Statistics/Biostatistics, Data Science, or Public Health or a related field is preferred.
• Working Experience: At least 2-4 years post NYSC practical experience in health data management, health informatics, database administration, or a related field. Experience with project management may be advantageous.
• Adept in qualitative and quantitative data management, analysis and research.

Required Competencies:
Data Collection and Entry:

• Understanding of data collection tools and methodologies (e.g., clinical data surveys data etc.).
• Proficiency in the design and implementation of data collection tool
• Proficiency in data entry software/electronic data capturing systems/Mobile-based data collection (e.g. REDCap, ODK, Kobo collect etc.).

Database Management:

• Experience with database systems (e.g., SQL, Microsoft Access etc.) for organizing and managing data.
• Knowledge of data architecture and design principles.
• Skills to manage projects related data implementation and upgrade.

Data Quality Assurance:

• Skills in data validation, cleaning, and quality checks to ensure accuracy and completeness.
• Familiarity with common data quality issues and resolution strategies.
• Ability to perform and report data quality assessment using the key quality dimensions

Regulatory Compliance:

• Knowledge of ethical guidelines, confidentiality, and data protection regulations (e.g., HIPAA).
• Familiarity with reporting requirements/guidelines for public health organizations.
• Sound knowledge and practice of ethical principles in conduct of public health research

 Training and Capacity Building:

• Experience in training staff or stakeholders on data management processes and tools.
• Ability to develop training materials and resources for capacity building.

Statistical Analysis:

• Proficiency in statistical software (e.g., SPSS, STATA, R) for data analysis.
• Competent in performing data wrangling and primary analysis
• Ability to interpret and communicate statistical results effectively.

Data Visualization:

•  Skills in creating clear and informative visual representations of data (e.g., charts, graphs).
• Ability to use MS Excel for data management, analysis and visualization
• Ability to use data visualization tools (e.g., Power BI, Tableau,).

 Epidemiology Knowledge:

• Understanding of HIV/TB epidemiology and related public health concepts.
• Ability to apply epidemiological concepts and methods in data analysis.

Interdisciplinary Collaboration:

• Ability to work with healthcare professionals, researchers, and stakeholders from various disciplines.
• Excellent communication skills with teamwork approach.

Continuous Improvement:

• Commitment to staying updated on best practices in data management and emerging technologies.
• Skills in assessing and improving data management processes.