Remote Biostatistician: Clinical Trial Data & Analysis

Placements24; Sandton; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Remote work option

Job summary

Placements24 is seeking a highly analytical Biostatistician to contribute to its R&D initiatives from a remote position, with occasional travel to the Sandton hub. You will design, analyze, and interpret clinical trial data to ensure statistical validity of study outcomes.

The role requires strong programming skills in SAS or R, with experience in trial design and regulatory submissions. You will collaborate with clinical operations, data management, and medical affairs teams to deliver robust

Qualifications

• Master's or Ph.D. in Statistics, Biostatistics, or a related quantitative field.
• Minimum of 5 years of experience as a Biostatistician in the pharmaceutical/biotechnology industry.
• Proficiency in SAS or R.
• Strong understanding of clinical trial design, data analysis, and regulatory requirements.

Responsibilities

• Design clinical trial protocols, determining appropriate statistical methodologies and sample sizes.
• Develop detailed Statistical Analysis Plans (SAPs) for clinical studies.
• Perform statistical analyses of clinical trial data using SAS, R, or other statistical software.
• Interpret statistical results and prepare high-quality tables, figures, and listings for reports and publications.
• Collaborate with cross-functional teams to ensure the integrity and validity of clinical trial data.
• Contribute to the preparation of regulatory submission documents, providing statistical expertise.

Skills

SAS

R

Statistical programming

Clinical trial analysis

Education

Master's or Ph.D. in Statistics/Biostatistics

Tools

SAS

R

Job description

Placements24 is seeking a highly analytical Biostatistician to contribute to its R&D initiatives from a remote position, with occasional travel to the Sandton hub. You will design, analyze, and interpret clinical trial data to ensure statistical validity of study outcomes.

The role requires strong programming skills in SAS or R, with experience in trial design and regulatory submissions. You will collaborate with clinical operations, data management, and medical affairs teams to deliver robust