Data Manager at Desmond Tutu Health Foundation

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