An urban Health and Demographic Surveillance System (HDSS) site was established in 2017 in Soweto, led by Wits VIDA Research Unit as part of the Child Health and Mortality Prevention Surveillance (CHAMPS) project
The incumbent will provide support to the HDSS program for VIDA, review and refine data collection tools, design, develop, and maintain databases, perform logic-based data validation rules for quality assurance on data, timely reporting, and documentation
Location:
VIDA - Chris Hani Baragwanath Academic Hospital, Johannesburg, Gauteng
Key performance areas:Technical Data Management and Analytics
Contribute to refining, structuring, and development of HDSS data collection forms
Draw up the specifications for harmonized data sets to send out as requests to PO and participating HDSS sites
Guide and lead routine data operational reports to inform on smooth field processes and to assist with monitoring of field data collection progress
Automate repetitive manual processes through scripting and design models for data cleaning, validation, and reporting
Address complex data queries as soon as they are identified from the field
Facilitate access to routinely collected data as required by the organization
Document and ensure that the harmonized data and transformation procedures used to make the analytical data sets can be understood and used by the demographer and HDSS leadership
Create standardized datasets reports (views) ready for use in comparative round data analysis and provide routine and ad hoc HDSS data reports
Ensure that HDSS data backup procedures are solid and regular to prevent any potential data loss
Develop a strong version control system to keep track of current and historic HDSS collected data to facilitate analysis and publications
Liaise with IT to ensure IT processes align with HDSS data requirements
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
Advise on SOPs and policies relating to studies
Ensure unit compliance with all WHC and relevant external data policies
Provide input into the development of quality assurance procedures for the organization in accordance with ethical and GCP requirements and SOPs
Customer Service
Communicate with donor representatives around compliance issues as and when required
Ensure all customer interaction (Both internal and external customers) is of the highest professional level, E.g. Respond to emails/queries within two days
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, 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:
At least a Master's level qualification in Computer Science/Statistics/Biostatistics/Epidemiology/Demography and/or any Data Analytics or other highly quantitative and computational discipline
A Doctoral qualification 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:
Experience in processing large complex longitudinal datasets and experience in relational database management
Working knowledge of SQL (i.e., ability to write queries that involve joining tables, aggregating functions, updating, and inserting into existing tables)
High-level computer programming language experience, such as C#, Java, Python
Demonstrated knowledge and track record of statistics, and proficiency using a statistical software package such as 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 Apply Online.
Please take note that the applicants who do not adhere to the above criteria will not be considered for the respective position.
The closing date for all applications: 13 September 2024.
Note AJ Personnel is fully POPI compliant.
Note WHC, in accordance with their Employment Equity goals and plan, will give preference to suitable applicants from designated groups as defined in the Employment Equity Act 55 of 1998 and subsequent amendments thereto.
Please note:
AJ PERSONNEL is only responsible for the advertising of the advertisement on behalf of their client Wits Health Consortium.
Wits Health Consortium will only respond to shortlisted candidates.
Candidates who have not been contacted within two weeks of the closing date can consider their applications to be unsuccessful.
AJ Personnel does not have any salary or other information regarding the position.