Data Manager

**Main purpose of the job**:

- The data manager will oversee the collection, and organizations storage of data generated from multiple studies
- The main goal for this role is to support the research team in study data generation, to ensure the quality, security, and accessibility of the data throughout the study and beyond to produce credible research data

**Location**:

- **Wits Vaccines & Infectious Diseases Analytics (VIDA) Research Unit - Soweto, Johannesburg**

**Key performance areas**:

- Technical data management and analytics_
- Developing and implementing data management plans to ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
- Coordinating the collection of data from multiple sources and ensuring data quality through regular audits and assessments
- Designing and implementing database systems and protocols to store and manage data
- Ensuring data security and protecting the confidentiality of sensitive information
- Providing training and support to researchers on how to use data management tools and systems
- Collaborating with other data management professionals to develop and maintain data-sharing agreements
- Archiving and preserving data for future use and access
- Staff management and capacity development_
- Contribute towards the development of team/company knowledge
- Foster an environment that promotes talent recognition, development as well as agency and individual leadership; promote harmony, teamwork, and sharing of information
- Mentor, coach and facilitate personal and professional staff development wherever possible
- Manage staff effectively including performance, conduct, efficient working, processes, and corrective action as required
- Compliance_
- Develop data management SOPs and policies relating to studies
- Ensure unit compliance with all WHC and relevant external data policies
- Maintain appropriate documentation of all research study material and consistency with SOPs
- Identify potential risks and resolve issues relating to research compliance
- Develop and implement process improvement initiatives to strengthen research study conduct and compliance, to ensure study compliance with relevant regulatory and GCP quality standards
- Ensure that data sharing process with external collaborators is in alignment with VIDA policies and that data sharing agreement is provided and observed
- Ensuring data security and protecting the confidentiality of sensitive information through well-defined processes
- Customer service_
- Communicate with donor representatives around compliance issues as and when required
- Build and maintain authentic relationships with all stakeholders ensuring that all interactions are professional
- Effectively manage work processes to maintain high levels of productivity
- Effective self-management_
- Take ownership and accountability for responsibility areas, demonstrate effective self-management, and demonstrate team and individual leadership and collaboration to support everyone’s combined and individual objectives
- Follow through to ensure that quality and productivity standards of own work are consistently and accurately maintained
- Take ownership of driving your own career development by participating in ongoing training and development activities such as forums, conferences, policy-setting workshops, etc.
- Manage internal and external stakeholder expectations and communicate appropriately with initiative and solutions
- Support and drive the business’ core values; maintain a positive attitude and respond openly to feedback

**Required minimum education and training**:

- **A Bachelors level qualification in Computer Science/Statistics/Biostatistics/Epidemiology/Demography and/or any Data Analytics or higher quantitative and computational discipline**:

- **A Master’s level will be advantageous**

**Required minimum work experience**:

- **2 years experience in data management and analysis working in a research environment**

**Desirable additional education, work experience, and personal abilities**:

- Proficiency with Microsoft Office, computer data acquisition, research data management, and report writing
- Demonstrated knowledge and track record of statistics, and proficiency using a statistical software package such as Python, STATA, or R for import, export, manipulation, and analysis of large datasets
- Team player able to work in a high-performing collaborative environment, and support scientific investigations across disciplines
- Ability to set priorities and work under pressure on a variety of tasks concurrently

**TO APPLY**:

- Only if you do meet the minimum job requirements and experience as mentioned above, you may submit a detailed updated CV.
- Please take note that the applicants who do not adhere to the above criteria will not be considered for the respective position.
- Note AJ Personnel is fully POPI compliant.
- Note WHC, in accordance with their Employm