11 Statistician jobs in South Africa

Job Reference Number: R875A

Department: Biostatistics Research Unit

Business Unit:

Industry: Academic

Job Type: Permanent

Positions Available: 1

Salary: Market Related

The Biostatistics Research Unit of the SAMRC is an active research entity that collaborates with health and medical researchers from the SAMRC, universities, other research institutions and international agencies. Statisticians in the Biostatistics Research Unit provide statistical support on design, analysis and reporting, to collaborative national and international projects in the SAMRC research

Job Description

The Biostatistics Research Unit of the SAMRC is an active research entity that collaborates with health and medical researchers from the SAMRC, universities, other research institutions and international agencies. Statisticians in the Biostatistics Research Unit provide statistical support on design, analysis and reporting, to collaborative national and international projects in the SAMRC research portfolio. These range from surveys, epidemiological studies to randomised controlled trials. Statistical methodological development as well as the training and supervision of researchers and junior staff, are also key focus areas. The Biostatistics Research Unit offers a challenging biostatistics career in health and clinical research within a dynamic environment. The Unit has several methodological and application Biostatistics research areas including Bayesian and nonparametric statistics; joint modeling of longitudinal and survival data, complex survey data analyses; multivariate spatial statistics analysis; statistics for clinical trials; structural equation and latent class modelling.

Responsibilities:

• Advise researchers on the design and analysis of clinical research studies under the guidance supervisor

• Undertake appropriate statistical analysis of research data and prepare routine and adhoc study reports

• Writing of program syntax, and code for statistical reports

• Contribute to scientific presentations and publications

Duration of contract:

Permanent

Remuneration:

R per annum (cost-to-company)

Location of the position:

Durban/Pretoria/Cape Town

Job Requirements

CoreRequirements:

Honours degree in Statistics

• Competent in at least one of the following software packages: R, STATA, SAS or SPSS

Advantageous:

One year's experience with

• Data management and record linking
• Data system development and appropriate software
• Data quality appraisal and assurance
• Statistical data analysis and relevant software
• Statistical programing/mathematics
• Writing of technical reports, manuscripts and codebooks

Closing Date:

19 September 2025

Job Reference Number: R874A

Department: Biostatistics Research Unit

Business Unit:

Industry: Academic

Job Type: Permanent

Positions Available: 1

Salary: Negotiable

The Biostatistics Research Unit of the SAMRC is an active research entity that collaborates with health and medical researchers from the SAMRC, universities, other research institutions and international agencies. Statisticians in the Biostatistics Research Unit provide statistical support on design, analysis and reporting, to collaborative national and international projects within the SAMRC.

Job Description

The Biostatistics Research Unit (BRU) of the SAMRC is an active research entity that collaborates with health and medical researchers from the SAMRC, universities, other research institutions and international agencies. Statisticians in the Biostatistics Research Unit provide statistical support on design, analysis and reporting, to collaborative national and international projects in the SAMRC research portfolio. These range from surveys, epidemiological studies to randomised controlled and clinical trials. Statistical methodological development as well as the training and supervision of researchers and junior staff, is also done. The SAMRC BRU offers a challenging biostatistics career in health and clinical research within a dynamic environment. The Unit has a number of methodological research programs such as longitudinal data analysis, innovation in the design and analysis of clinical trials, and spatial data analysis. The successful candidate will have an individual research portfolio and contribute to these programs.

Responsibilities:

• Research- Peer reviewed journal articles or book chapters, technical report.
• Working on and coordinating all statistical aspects of one or more projects as study statistician.
• Evidence of use of more complex data analysis techniques.
• Write-up study design, sample size and analysis plan of proposals.
• Oversee all aspects of the study such as design, data management, analysis and interpretation of results.
• Transform data into formats that are clean and suitable for analysis.
• Carry out independent computing in a timeous manner.
• Conduct complex statistical analysis.
• Attendance of advanced methodological training.
• Poster or oral presentations at local or international conferences or at external meetings where own research is presented by the statistician.
• Statistical support of Masters or PhD students.
• Assist in teaching a Biostatistics course.
• Develop course material
• Contribution to management of the Unit or SAMRC through meeting organisation or participation in committees, reviews and organisational processes
• Assistance with Unit reporting processes, organising academic days, journal clubs, etc

Duration of the contract:

Permanent

Remuneration:

R per annum (cost-to-company)

Job Requirements

Core Requirements:

• Hold a MSc in statistics, biostatistics, or biometry
• At least 5 years' experience in a clinical and health research environment
• Evidence of strong academic background and peer-reviewed ISI publication record, with at least 7 ISI publications and at least 4 presentations at conferences or meetings
• Registered for a PhD, proposal written and accepted by the University
• At least 5 hours of teaching/training

Advantageous:

• Experience working with epidemiology and public health research groups and centers.

Closing Date:

19 September 2025

Brief description

The main purpose of this position is to coordinate South Africa's participation in the Group of Twenty (G20) Data Gaps Initiative (DGI) and lead the Economic Statistics Department's (ESD) climate statistics framework development, ensuring alignment with international standards and integration into South Africa's macroeconomic statistical systems.

Detailed description

The successful candidate will be responsible for the following key performance areas:

• Serve as country coordinator for South Africa in the G20 DGI, representing national interests and ensuring alignment with global objectives.
• Chair the South African G20 DGI Secretariat, facilitating inter-agency collaboration and ensuring timely delivery of commitments.
• Engage and manage collaboration with the International Monetary Fund, acting as liaison with the global G20 DGI Secretariat to align national reporting and implementation.
• Coordinate the South African project team, ensuring effective implementation of recommendations across agencies.
• Provide technical input on G20 DGI recommendations, ensuring methodological soundness and relevance to South Africa's statistical landscape.
• Link G20 DGI recommendations to the Integrated Economic Accounts (IEA) and other relevant statistical domains to enhance coherence and usability.
• Conduct research on G20 DGI themes to inform policy, improve implementation and contribute to international statistical discourse.
• Lead the development of ESD's climate statistics framework, ensuring alignment with national priorities and international best practices.
• Assess and integrate relevant climate frameworks into macroeconomic statistics, including the IEA, to support climate-related analysis and policy recommendations.
• Develop an integration framework between the IEA and the System of Environmental-Economic Accounting (SEEA), including conceptual design and implementation planning.
• Represent ESD and South Africa in national and international climate statistics engagements, contributing to global discussions and ensuring South Africa's view is communicated.

The successful candidate will be responsible for the following key performance areas:

• Collect, compile and analyse national accounts statistics and share findings with more senior economic statistician.
• Input data across all short-term economic indicators and disciplines covered in the national accounts area into the structured database to maintain a comprehensive, updated and accurate statistical database.
• Check the accuracy of data received, validate source data and frequently liaise with respondents.
• Assist in special projects.
• Conduct methodological research.
• Analyse and reconcile new data from financial statements and other national accounts statistics.
• Monitor and analyse the economic conditions affecting the economy in general.
• Apply all relevant methodological standards, techniques and protocols that apply to own area of work to ensure adherence to international best practices.
• Monitor developments in research and statistical methodologies, evaluating how these changes may affect own area of work.
• Compile thorough, comprehensive and descriptive reports.
• Engage with external stakeholders as a representative of the SARB.
• Prepare briefings and presentations on research findings and statistical analysis and present these to the internal team.

The successful candidate will be responsible for the following key performance areas:

• Assist senior economic statisticians by conducting research and analysis, preparing sections of reports, including planning, structuring and drafting reports on changes in economic activity.
• Demonstrate a basic understanding and application of all methodological standards, techniques and protocols that apply to own work.
• Input data across all short-term economic indicators and disciplines covered in the national accounts area into the structured database to maintain a comprehensive, updated and accurate statistical database.
• Administer primary survey instruments and collect secondary data from agreed sources, for example, Statistics South Africa, South African Revenue Service and National Treasury.
• Check the accuracy of data received, validate source data and frequently liaise with respondents.
• Analyse and reconcile new data from financial statements and other national accounts statistics.
• Monitor and analyse the economic conditions affecting the economy in general.
• Apply all relevant methodological standards, techniques and protocols that apply to own area of work to ensure adherence to international best practices.
• Monitor developments in research and statistical methodologies, evaluating how these changes may affect own area of work.
• Assist with the preparation of briefings and presentations on research findings and statistical analysis and present these to the internal team.

Brief description

The main purpose of this position is to oversee and manage the development and implementation of the Integrated Economic Accounts (IEA), Integrated Macroeconomic Analysis Framework and drive the delivery of high-quality integrated macroeconomic analysis for South Africa's IEA and conduct in-depth research and analysis in this specialized field.

Detailed description

The successful candidate will be responsible for the following key performance areas:

• Lead the development and implementation of integrated macroeconomic statistical analysis frameworks by ensuring full vertical and horizontal institutional sector analysis (households, government, corporations and rest of the world), in line with the analytical premise of the System of National Accounts (SNA) and related international guidelines.
• Drive the statistical and analytical integration of sectoral macroeconomic developments, transforming complex stock and flow statistics into coherent, policy-relevant insights through reconciliation, consistency assessment and interpretive narratives that support monetary policy, financial stability and national accounts and related statistical domain alignment.
  Design and apply advanced econometric, statistical and financial models to support the analysis, forecasting, benchmarking, back-testing and validation of integrated macroeconomic statistics- drawing on methods such as time-series analysis, scenario testing and structural modelling.
• Co-lead the adoption and application of open-source tools for analytical application, specifically Python and R, generating deep analysis and reproducible research and actively contribute to developing and modernising analytical frameworks and workflows with efficient, code-based solutions.
• Drive analytical statistical research and methodological innovation, enhancing the quality, accuracy and international comparability of IEA statistical analysis.
• Provide feedback loops between statistical analysis and methodological frameworks, supporting continuous improvement and the integration of cutting-edge techniques.
• Coordinate with internal and external data stakeholders (e.g. government, national statistical agencies, regulatory bodies, and SARB departments) to improve the granularity, consistency and analytical richness of IEA statistical research, and to ensure that relevant statistical output enable integrated and timely macroeconomic analysis.
• Ensure compliance with analytical frameworks, quality standards and international best practices, including the implementation of internal quality assurance processes, transparent metadata documentation and adherence to the requirements of global institutions such as the International Monetary Fund (IMF), Organisation for Economic Co-operation and Development (OECD), European Central Bank (ECB) and United Nations (UN).
• Oversee the production and dissemination of high-quality analytical content, coordinating and leading analytical outputs for the Quarterly Bulletin , research notes, policy documents and thematic publications which are statistically sound, analytically rigorous and well-communicated through appropriate written commentary and visualisation.
• Provide strategic thought leadership in integrated macroeconomic analysis, presenting findings to the Monetary Policy Committee, Financial Stability Committee, SARB executive leadership and external stakeholders, including participation in high-level forums, international workshops and academic conferences.
• Lead or contribute to the development of national analytical standards and classification frameworks, helping establish consistent, interpretable and policy-aligned statistical analysis frameworks for macroeconomic integration across statistical domains and related frameworks.
• Mentor junior team members and build institutional analytical capabilities, providing training and technical guidance in macroeconomic modelling, statistical programming and inferential interpretation, while contributing to performance reviews and professional development.
• Support statistical governance, model documentation and risk management protocols, drawing on best practices in model governance, reproducibility and version control to ensure transparency, auditability and institutional memory in the production and maintenance of macroeconomic statistics

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Overview

University: Heidelberg University
Country: Germany
Deadline:
Fields: Bioinformatics, Computer Science, Medical Technology, Image Analysis, Data Science

Are you passionate about harnessing the power of data science and image analysis to revolutionize medical diagnostics and patient care? This doctoral opportunity at the University Medical Center Mannheim, part of Heidelberg University, offers a PhD position in ophthalmology, working alongside clinicians and scientists to advance science and patient outcomes.

About The University or Research Institute

Heidelberg University is one of Germany’s oldest and most renowned institutions. Its Medical Faculty Mannheim, in partnership with the University Medical Center Mannheim, leads in medical research, education, and clinical care. The University Medical Center Mannheim serves a large regional footprint, with numerous clinics and institutes and a substantial staff, providing a rich environment for interdisciplinary research and professional growth. Mannheim is a vibrant city in southwestern Germany with strong links to Europe's research and industry networks.

The PhD focuses on developing and implementing advanced algorithms for ophthalmological image data analysis. The rapid expansion of imaging technologies has generated enormous, complex datasets. The project aims to address challenges such as integrating multimodal data and creating robust, scalable solutions to support more accurate diagnostics, personalized treatments, and improved patient outcomes. The research has implications for broader medical imaging, artificial intelligence, and healthcare innovation.

European and German PhD opportunities in related fields are listed on the official job advertisement and related research institution pages.

As a doctoral student in the Department of Ophthalmology, you will:

• Develop and implement algorithms for analyzing image data, including multimodal approaches where necessary.
• Co-develop solutions that integrate various image analysis algorithms.
• Collaborate closely with researchers and physicians in ophthalmology.
• Engage in regular reporting, data curation, data analysis, and quality management.
• Prepare scientific publications and contribute to third-party funding applications.

This is a fixed-term contract for three years, with the possibility of extension. The position offers a high level of responsibility, a diverse range of tasks, and the opportunity to work within an open-minded and motivated team. You will benefit from Heidelberg University’s internal educational programs, support for balancing family and career, and competitive remuneration according to the Collective Agreement for the Public Service of the Federal States (TV-L), including pension benefits.

Ideal Applicants Will Have

• A completed degree (diploma or master’s) in bioinformatics, computer science, medical technology, image analysis, or a comparable field.
• Solid knowledge in machine learning and computer vision.
• Experience with scientific workflows, including data collection, management, and statistical analysis.
• Excellent written and spoken German and English language skills.
• A dynamic, highly organized, and creative personality with a proactive and independent work style.

The University Medical Center Mannheim values diversity and is committed to equal opportunities. Severely disabled persons will be given priority in cases of equal suitability.

For further information, please refer to the official advertisement at the following link:

Application deadline:

Reference number: 899-076

If you are eager to advance your expertise at the intersection of data science, medical imaging, and clinical research, and wish to contribute to meaningful innovations in healthcare, this PhD position at Heidelberg University offers a unique platform. We encourage qualified and motivated candidates to apply and explore related opportunities in this dynamic field.