Remote Biostatistician – Clinical Trials Insights

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

Benefits offered by this job

Fully remote work

Health and wellness benefits

Online courses & conferences

Retirement savings plan

Flexible working hours

Job summary

Placements24 is seeking a Biostatistician to join a remote team in South Africa. The role focuses on designing, analyzing, and interpreting clinical trial data using SAS or R, contributing to regulatory submissions and publications.

The ideal candidate holds a MSc/PhD in Statistics or Biostatistics with at least 4 years in biostatistics within pharma/biotech, and a solid grasp of CDISC SDTM/ADaM. Remote work from anywhere in South Africa is offered.

Qualifications

• Master's or Ph.D. in Statistics, Biostatistics, or a closely related quantitative field.
• Minimum 4 years of biostatistics experience in pharma/biotech with clinical trials.
• Proficiency in SAS or R for analysis and reporting.
• Strong understanding of clinical trial design and regulatory requirements (ICH).
• Experience with CDISC standards (SDTM/ADaM) is a plus.

Responsibilities

• Design SAPs for clinical trials in collaboration with development teams.
• Perform SAS or R analyses for efficacy and safety across trial phases I–IV.
• Develop and validate programs for data analysis and reporting.
• Prepare reports for regulatory submissions, publications, and internal reviews.
• Provide statistical guidance across the trial lifecycle from protocol to close-out.
• Contribute to protocol design and TNLD for trials and CSR tables/figures.
• Collaborate with data management to ensure data quality and integrity.
• Stay updated on statistical methodologies in clinical trials.

Skills

SAS

R

Biostatistics

Data analysis

Clinical trials

Education

MSc/PhD in Statistics/Biostatistics

Tools

CDISC SDTM/ADaM

Job description

Placements24 is seeking a Biostatistician to join a remote team in South Africa. The role focuses on designing, analyzing, and interpreting clinical trial data using SAS or R, contributing to regulatory submissions and publications.

The ideal candidate holds a MSc/PhD in Statistics or Biostatistics with at least 4 years in biostatistics within pharma/biotech, and a solid grasp of CDISC SDTM/ADaM. Remote work from anywhere in South Africa is offered.