Senior Biostatistician – Hybrid Research Design & Analysis

Placements24; Rustenburg; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work

Health insurance

Retirement savings

Professional development

Career growth

Job summary

Placements24 seeks a Senior Biostatistician based in Rustenburg to provide expert statistical support across research projects, from study design to reporting. You will collaborate with multidisciplinary teams to ensure rigorous application of statistical methods and robust interpretation of results.

The role emphasizes methodological excellence, regulatory awareness, and contributing to manuscripts and presentations while maintaining high standards of scientific integrity.

Qualifications

• Ph.D. or Master's in Biostatistics, Statistics, or a closely related quantitative field.
• A minimum of 4 years of professional experience as a biostatistician, preferably within a research setting.
• Strong proficiency in statistical software such as SAS, R, or SPSS.
• Experience in designing clinical trials or epidemiological studies is highly desirable.
• Excellent understanding of statistical theory and its practical application in scientific research.

Responsibilities

• Design and develop statistical analysis plans for diverse research studies.
• Conduct complex statistical analyses using SAS or R.
• Provide statistical consultation and support to research teams throughout the project lifecycle.
• Interpret statistical results and contribute to manuscripts, reports, and presentations.
• Ensure adherence to statistical best practices and regulatory guidelines in all research activities.

Skills

SAS

R

SPSS

Education

PhD in Biostatistics or related field

Master's in Biostatistics or related field

Job description

Placements24 seeks a Senior Biostatistician based in Rustenburg to provide expert statistical support across research projects, from study design to reporting. You will collaborate with multidisciplinary teams to ensure rigorous application of statistical methods and robust interpretation of results.

The role emphasizes methodological excellence, regulatory awareness, and contributing to manuscripts and presentations while maintaining high standards of scientific integrity.