Biostatistician

Placements24; Benoni; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Hybrid work model

Professional growth

Conference participation

Collaborative environment

Job summary

Placements24 is seeking a highly skilled Biostatistician to join our R&D team in Benoni. The role focuses on designing SAPs, analyzing clinical trial data, and ensuring statistical integrity across studies that support drug development.

You will collaborate with clinical researchers, data managers, and medical writers in a hybrid work setting, applying advanced statistical methods and regulatory knowledge to generate robust insights and support regulatory submissions.

Qualifications

• Master's or PhD in Biostatistics, Statistics, or a closely related quantitative field.
• Proven experience as a Biostatistician in the pharmaceutical or clinical research industry.
• Proficiency in statistical programming software such as SAS, R, or Python.
• Strong understanding of clinical trial design, statistical methodologies, and regulatory requirements.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively both independently and as part of a hybrid team.

Responsibilities

• Design clinical trial statistical analysis plans (SAPs) and data collection methods.
• Develop, program, and validate statistical analysis programs using SAS, R, or similar software.
• Perform statistical analyses of clinical trial data, including descriptive statistics, inferential statistics, and modeling.
• Interpret statistical results and generate tables, listings, and figures for reports and publications.
• Collaborate with cross-functional teams to ensure the appropriate application of statistical methods throughout the research process.
• Contribute to the interpretation of study results and provide statistical expertise for regulatory submissions.

Skills

Statistical analysis

Clinical trial design

Communication skills

Education

Master's or PhD in Biostatistics

Tools

SAS

R

Python

Job description

About the Role

Our client is looking for a highly skilled Biostatistician to join their cutting-edge research and development team in Benoni . This hybrid role requires a sophisticated understanding of statistical methodologies to design clinical trials, analyze complex datasets, and interpret results. You will collaborate closely with clinical researchers, data managers, and medical writers to ensure the robust statistical integrity of studies that underpin drug development. Your analytical prowess will be key to transforming raw data into actionable insights that drive therapeutic advancements.

Key Responsibilities

• Design clinical trial statistical analysis plans (SAPs) and data collection methods.
• Develop, program, and validate statistical analysis programs using SAS, R, or similar software.
• Perform statistical analyses of clinical trial data, including descriptive statistics, inferential statistics, and modeling.
• Interpret statistical results and generate tables, listings, and figures for reports and publications.
• Collaborate with cross-functional teams to ensure the appropriate application of statistical methods throughout the research process.
• Contribute to the interpretation of study results and provide statistical expertise for regulatory submissions.

Requirements

• Master's or PhD in Biostatistics, Statistics, or a closely related quantitative field.
• Proven experience as a Biostatistician in the pharmaceutical or clinical research industry.
• Proficiency in statistical programming software such as SAS, R, or Python.
• Strong understanding of clinical trial design, statistical methodologies, and regulatory requirements.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively both independently and as part of a hybrid team.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Hybrid work model offering flexibility and work-life integration.
• Opportunities for professional growth, advanced training, and conference participation.
• Exposure to innovative drug development projects and cutting-edge statistical techniques.
• A collaborative and intellectually stimulating work environment.