Circular 30 of 2026 · Post 30/29 · Ref NDOH 73/2026
DEPUTY DIRECTOR: DATA SCIENTIST
- CentrePretoria
- Posts2 posts
Job details
- Circular
- 30 of 2026
- Page No.
- 6
- Circular Post
- 30/29
- Reference number
- NDOH 73/2026
- Department
- Department of Health (DoH)
- Centre
- Pretoria
- Salary
- R932 292 per annum, (an all-inclusive remuneration package), (basic salary consists of 70% or 75% of total package, salary package will be structured according to Middle Management Service guidelines
- Number of posts
- 2
- Closing date
- 7 September 2026
About this vacancy
Review the complete requirements and application instructions for this vacancy at Department of Health (DoH).
The listed centre is Pretoria.
Applications close on 7 September 2026.
Application and salary information
Salary
R932 292 per annum, (an all-inclusive remuneration package), (basic salary consists of 70% or 75% of total package, salary package will be structured according to Middle Management Service guidelines
Application route
Complete submission instructions are provided under How to apply.
Requirements
- A Grade 12 certificate and NQF 7 qualification in one of the following sciences: Data Science, Statistics, Computer Science, Mathematics, Applied Mathematics, Information Systems, Health Informatics, Epidemiology, Biostatistics, Actuarial Science, Engineering (with a data analytics focus).
- A postgraduate qualification (NQF 8) in Data Science, Biostatistics, Epidemiology, Public Health, or Health Informatics will be an advantage.
- Proven work experience of 3–5 years in data analysis, analytics, statistics, machine learning, or health data management.
- This experience may be in the fields of: Health information systems, Clinical data, Public health programmes, Research datasets, Monitoring and evaluation systems or Disease surveillance systems.
- Experience related to building ETL processes will be an advantage.
- Proven competencies in: Epidemiology and disease surveillance, Health systems and service delivery, Health indicators and reporting frameworks, Health information systems, Data quality management, Health data interoperability standards, Research methods and biostatistics, Protection of Personal Information Act (POPIA), Ethical use of health data during the handling and manipulation of large health datasets using enterprise database technologies.
- Key technical skills required include: Programming Languages such as Python and SQL.
- Data Science and Analytical skills related to: Machine learning, Statistical modelling, Predictive analytics, Data mining and Natural language processing will be advantageous.
- Data visualisation skills required include: Power BI, Tableau or Python visualisation libraries.
- Database Technology proven experience includes: MS SQL Server and PostgreSQL.
- A valid driver’s license.
Duties
- Plan, coordinate and execute data science project activities that transform health data into actionable insights in support of decision-making.
- Develop and maintain advanced analytical solutions.
- Ensure the integrity and reliability of health data.
- Enable evidence-based digital health products and services.
- Advance digital health knowledge and innovation.
- Ensure analytical work supports organisational objectives.
- Ensure responsible use of health data that relates to regulatory compliance, privacy (POPIA) and ethics in health data, including ethical use of AI, ML and DL in the digital health ecosystem.
- Enhance the analytical maturity of Data Science in the Digital Health Unit.
- Contribute towards solutions for solving analytic problems that can be incorporated into the Business Intelligence (BI) solutions for the NHI Fund Design.
- Participate and contribute to Data Governance and ensure compliance with relevant legislation.
Enquiries
Ms E Vosloo e-mail: Elbie.Vosloo@Health.gov.za
How to apply
Where and how to submit your application.
The Director-General, National Department of Health, Private Bag X399, Pretoria, 0001. Hand delivered application may be submitted at Reception (Brown Application Box), Dr AB Xuma Building, 1112 Voortrekker Rd, Pretoria Townlands 351-JR or should be forwarded to recruitment@health.gov.za quoting the reference number on the subject e-mail.
Notes and Z83 guidance
- All shortlisted candidates for SMS posts will be subjected to a technical exercise and interview. Following the technical exercise and interview, a maximum of three (3) SMS candidates will undergo psychometric assessments to assess cognitive capabilities, behavioural preferences, emotional intelligence, and integrity.
- All shortlisted candidates, including the SMS, shall undertake two pre-entry assessments. One will be a practical exercise to determine a candidate’s suitability based on the post’s technical and generic requirements, and the other must be an integrity (ethical conduct) assessment. Following the interview and technical exercise for SMS posts, the selection panel will recommend candidates to attend a generic managerial competency assessment (in compliance with the DPSA Directive on the implementation of competency-based assessments). The competency assessment will be testing generic managerial competencies using the mandated DPSA SMS competency assessment batteries.
- Applications should be submitted on the new Z83 form obtainable from any Public Service department and should be accompanied by a CV only (previous experience must be comprehensively detailed). The Z83 must be fully completed (in line with DPSA Practice note), failure to comply will automatically disqualify the applicant.
- Applicants are not required to submit copies of qualification and other relevant documents on application. Certified copies of qualifications and other relevant documents will be requested prior to the final selection phase.
- Applications should be on one PDF format (If emailed).
- Applications received after the closing date and those that do not comply with the requirements will not be considered. It is the applicant’s responsibility to have foreign qualifications and national certificates (where applicable) evaluated by the South African Qualification Authority (SAQA). Please note by responding to the advertisement, you consent to the collection, processing, and storing of your Personal Information in accordance with the Protection of Personal Information Act (POPIA). Your information will be used solely for the purpose of this promotion and will not be shared with third parties without prior consent unless required by law.
- The Department reserves the right not to fill the posts.
- The successful candidate will be subjected to personnel suitability checks and other vetting procedures.
- Applicants are respectfully informed that correspondence will be limited to short-listed candidates only. If notification of an interview is not received within three (3) months after the closing date, candidates may regard their application as unsuccessful.
- The Department will not be liable where applicants use incorrect/no reference number(s) on their applications.
Z83 form: Government job applications usually require the Z83 application form. Download the Z83 application form before applying.
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Official source
This vacancy was imported from DPSA Circular 30 of 2026 for reference.
Disclaimer: SA Gov Jobs is an independent job information service and is not a government department. This vacancy was imported from the official DPSA circular PDF. Please confirm the reference number, closing date, and application instructions in the original circular before applying. View the official DPSA vacancy circulars.
Original Text
Chief Directorate: Digital Health Information Systems
SALARY : R932 292 per annum, (an all-inclusive remuneration package), (basic salary consists of 70% or 75% of total package, salary package will be structured
according to Middle Management Service guidelines
CENTRE : Pretoria
REQUIREMENTS : A Grade 12 certificate and NQF 7 qualification in one of the following sciences: Data Science, Statistics, Computer Science, Mathematics, Applied
Mathematics, Information Systems, Health Informatics, Epidemiology,
Biostatistics, Actuarial Science, Engineering (with a data analytics focus). A postgraduate qualification (NQF 8) in Data Science, Biostatistics,
Epidemiology, Public Health, or Health Informatics will be an advantage.
Proven work experience of 3–5 years in data analysis, analytics, statistics, machine learning, or health data management. This experience may be in the
fields of: Health information systems, Clinical data, Public health programmes,
Research datasets, Monitoring and evaluation systems or Disease surveillance systems. Experience related to building ETL processes will be an advantage.
Proven competencies in: Epidemiology and disease surveillance, Health systems and service delivery, Health indicators and reporting frameworks,
Health information systems, Data quality management, Health data interoperability standards, Research methods and biostatistics, Protection of
Personal Information Act (POPIA), Ethical use of health data during the handling and manipulation of large health datasets using enterprise database
technologies. Key technical skills required include: Programming Languages such as Python and SQL. Data Science and Analytical skills related to:
Machine learning, Statistical modelling, Predictive analytics, Data mining and
Natural language processing will be advantageous. Data visualisation skills required include: Power BI, Tableau or Python visualisation libraries. Database
Technology proven experience includes: MS SQL Server and PostgreSQL. A valid driver’s license.
DUTIES : Plan, coordinate and execute data science project activities that transform health data into actionable insights in support of decision-making. Develop and
maintain advanced analytical solutions. Ensure the integrity and reliability of health data. Enable evidence-based digital health products and services.
Advance digital health knowledge and innovation. Ensure analytical work supports organisational objectives. Ensure responsible use of health data that
relates to regulatory compliance, privacy (POPIA) and ethics in health data, including ethical use of AI, ML and DL in the digital health ecosystem. Enhance
the analytical maturity of Data Science in the Digital Health Unit. Contribute towards solutions for solving analytic problems that can be incorporated into
the Business Intelligence (BI) solutions for the NHI Fund Design. Participate and contribute to Data Governance and ensure compliance with relevant
legislation.
ENQUIRIES : Ms E Vosloo e-mail: Elbie.Vosloo@Health.gov.za