Biostatistician - Clinical Trial Insights (Hybrid)

Placements24; Paarl; Hybrid; ZAR 550,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Hybrid work model

Pharma research projects

Job summary

Placements24 is seeking a highly analytical Biostatistician to contribute to pharmaceutical research in Paarl. This hybrid role focuses on designing, analyzing, and interpreting clinical trial data to ensure regulatory-ready findings.

The role requires a Master’s or PhD in Statistics/Biostatistics and 3–5 years in pharma/biotech, with strong SAS/R/S-Plus skills and excellent communication. Hybrid work model with opportunities for professional growth and impactful research.

Qualifications

• Master's or PhD in Statistics, Biostatistics, or related quantitative field.
• Minimum of 3–5 years of experience as a Biostatistician in pharma/biotech.
• Proficiency in SAS, R, or S-Plus.
• Strong understanding of clinical trial design, data analysis, and regulatory requirements.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a hybrid work environment.

Responsibilities

• Design clinical trial protocols, including sample size calculations and statistical analysis plans.
• Perform statistical analysis of clinical trial data using SAS, R, or other software.
• Interpret statistical results and communicate findings to clinical teams.
• Prepare statistical sections of regulatory submissions (IND, NDA, BLA) and publications.
• Ensure adherence to statistical programming standards and regulatory guidelines.
• Contribute to development and validation of statistical analysis tools and methodologies.

Skills

Clinical trial design

Statistical analysis

Regulatory knowledge

Communication skills

Education

Master's or PhD in Statistics/Biostatistics

Tools

SAS

R

S-Plus

Job description

Placements24 is seeking a highly analytical Biostatistician to contribute to pharmaceutical research in Paarl. This hybrid role focuses on designing, analyzing, and interpreting clinical trial data to ensure regulatory-ready findings.

The role requires a Master’s or PhD in Statistics/Biostatistics and 3–5 years in pharma/biotech, with strong SAS/R/S-Plus skills and excellent communication. Hybrid work model with opportunities for professional growth and impactful research.