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Biostatistician - Pharmaceutical Research
Job in
Benoni, 1501, South Africa
Listed on 2026-10-11
Listing for:
Placements24
Full Time
position Listed on 2026-10-11
Job specializations:
-
Research/Development
Clinical Research, Data Scientist, Research Scientist -
Healthcare
Clinical Research, Data Scientist
Job Description & How to Apply Below
About the Role
Our client is seeking a highly analytical and detail-oriented Biostatistician to join their pharmaceutical research team in Benoni . In this hybrid role, you will be instrumental in the design, analysis, and interpretation of clinical trial data, ensuring the robustness and validity of research findings. You will collaborate closely with clinical scientists, data managers, and medical writers to translate complex data into actionable insights that drive drug development.
This position requires a strong statistical foundation and the ability to communicate complex statistical concepts effectively to both technical and non-technical audiences.
- Provide statistical input during the design of clinical trials, including sample size calculations and protocol development.
- Develop statistical analysis plans (SAPs) and define the methods for analyzing clinical trial data.
- Perform statistical analyses using SAS, R, or other statistical software packages.
- Interpret analysis results, prepare statistical reports, and contribute to clinical study reports and regulatory submissions.
- Collaborate with data management to ensure data quality and integrity for statistical analysis.
- Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
- Minimum of 5 years of experience as a Biostatistician in the pharmaceutical or biotechnology industry.
- Proficiency in statistical software such as SAS (preferred), R, or SPSS.
- Strong understanding of clinical trial design, statistical methodologies, and regulatory requirements (e.g., ICH guidelines).
- Excellent analytical, problem-solving, and written/verbal communication skills.
- Competitive salary and comprehensive benefits package.
- Hybrid work arrangement offering flexibility and work-life balance.
- Opportunities for professional growth and skill development in statistical programming and methodology.
- Collaborative research environment with exposure to diverse clinical development projects.
- Contribution to groundbreaking pharmaceutical research that impacts patient health.
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