Remote Biostatistician for Clinical Trials & Submissions

Placements24; Paarl; Hybrid; ZAR 1,959,000 - 2,938,000; Full time

Benefits offered by this job

Bonus & stock options

Remote work flexibility

Comprehensive health insurance

Home office setup allowance

Exposure to drug development programs

Job summary

Placements24 is seeking a highly skilled Remote Biostatistician to join our global clinical development team. This fully remote role demands expertise in trial design, data analysis, and regulatory submission support from your home office.

You will design analysis plans, run complex analyses in SAS/R, interpret results, and contribute to publications while collaborating with clinicians, data managers, and regulatory experts.

Qualifications

• Ph.D. or Master's in Biostatistics or related field.
• Minimum 5 years in biostatistics for pharma/biotech, focused on clinical trials.
• Proficiency in SAS and R; S-Plus familiarity a plus.
• Strong data analysis, interpretation, and communication skills.
• Ability to work independently in a remote team.

Responsibilities

• Design statistical analysis plans for clinical trials, including sample size and randomization schemes.
• Perform complex statistical analyses using SAS, R, or other software.
• Interpret results and contribute to regulatory submissions and publications.
• Collaborate with clinical teams to ensure appropriate methods across the trial lifecycle.
• Provide statistical guidance on study design, data collection, and analysis strategies.
• Stay current with advancements in statistical methodologies for clinical research.

Skills

SAS

R

Clinical trial design

Statistical modeling

Remote collaboration

Education

PhD in Biostatistics

Master's in Biostatistics

Tools

S-Plus

Job description

Placements24 is seeking a highly skilled Remote Biostatistician to join our global clinical development team. This fully remote role demands expertise in trial design, data analysis, and regulatory submission support from your home office.

You will design analysis plans, run complex analyses in SAS/R, interpret results, and contribute to publications while collaborating with clinicians, data managers, and regulatory experts.