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Statistician

Job in Durban, 3611, South Africa
Listing for: Carlysle Human Capital
Full Time position
Listed on 2026-10-13
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Clinical Research
  • Healthcare
    Data Scientist, Clinical Research
Job Description & How to Apply Below
Key Responsibilities:

Provide statistical advice for the design of clinical trials and different types of observational studies and contribute to protocols and grant applications

The ability to undertake projects in Biostatistical methodology and applied Biostatistical research; or being a co-investigator or study statistician in health-related project Determine and undertake appropriate analysis of clinical trials, observational studies and de-identified routine health records data and record statistical analysis code in a reproducible format. Write-up study design, sample size, statistical analysis plans and study analysis results Prepare routine and adhoc study reports and contribute to presentations and publications

Minimum Requirements:

Masters degree or higher in Statistics, Biostatistics or a related quantitative discipline. A PhD in Statistics or a related field will be advantageous (with undergraduate in a related quantitative discipline) 4 years of research and statistical analysis experience Strong experience in R and/or Python; experience with SAS, Stata or other statistical software will be advantageous Experience in applied statistical research, epidemiological studies and analysis of health-related data Basic knowledge of clinical and microbiome research and epidemiology High level of computer literacy in MS office (Word, Advanced Excel and Outlook) Experience with longitudinal data, repeated measurements, survival/time-to-event analysis and multivariable statistical modelling will be advantageous

Personal Qualities and

Competencies:

Strong analytical, statistical and problem-solving skills with excellent attention to detail Able to work under pressure in a changing environment Ability to work independently and fit in well within a multi-disciplinary team Ability to communicate statistical concepts to non-statisticians Managing time and work/deadline driven Excellent written, verbal communication skills and interpersonal skills

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