Requirements
- Undergraduate degree in medical, scientific, biological, statistical, computer science, or related field
- At least 2 years of experience in managing databases within a research environment
- At least 2 year’s demonstrable experience building and managing complex data collection tools using Redcap please detail in cover letter
- At least 1 year of supervisory and staff management
- Proficient in MS Excel and Access and be able to design a database, run and resolve data queries
- Good Clinical Practice GCP certificate
- Valid code 8 driver’s license
Advantageous:
- Experience with statistical packages e.g. STATA, SPSS, SAS or R
- Knowledge of HIV & ART
Responsibilities:
Research Data Management:
- Institutionalize high-quality data collection, management, and quality assurance systems and processes for current studies and ARV databases using REDCap and other platforms.
- Develop and implement real-time data quality assurance processes and procedures
- Perform data cleaning and log data queries for investigation
- Support the design of compatible and integrated systems for data coordination and sharing with research partners
- Work with study Project lead and Project Manager to develop data management and quality assurance plans, including project progress monitoring tools
- Develop and automate statistical dashboards on project implementation and key study variables
- Prepare and extract analytic datasets, and perform analyses for PI, project lead and managers
System Design and Maintenance:
- Provide oversight for collection of data from the studies, including:
- Incorporating data from database or data system,
- Supervise the organization, cleaning, and verifying complete data entry by research assistants and fieldworkers;
- Prepare data for use in analyses by overseas and South African-based investigators.
- Oversee all QC and QA processes
- Ensure that data is collected and QCed as per the Quality management plan
Staff Management:
- Manage staff and oversee their work.
- Manage the quality of databases and supervise data-entry staff
- Ensure training of and optimal implementation of all components of project data management
- Train and support field-based data collection staff members
- Attend project management meetings
