Remote Biostatistician - Lead Clinical Trial Analytics

Placements24

Cape Town

Hybrid

ZAR 1,499,000 - 2,499,000

Full time

4 days ago
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Benefits offered by this job

Remote work flexibility
Competitive salary
Professional development opportunities
Collaborative environment
Impact on drug development

Job summary

Placements24 is seeking a highly skilled Remote Biostatistician to design, analyze, and interpret clinical trial data within the pharmaceutical sector. This fully remote role requires close collaboration with clinical operations, data management, and regulatory affairs teams to inform drug development decisions.

The ideal candidate holds a Master's or PhD in statistics or biostatistics, 5+ years of experience, and expertise in SAS or R, with a solid grasp of ICH, FDA, and EMA guidelines.

Qualifications

  • Master's or PhD in Statistics/Biostatistics or related field.
  • 5+ years of Biostatistics experience in pharma/biotech with clinical trials.
  • Proficiency in SAS or R.
  • Strong knowledge of ICH, FDA, EMA guidelines.
  • Excellent analytical and problem-solving skills.
  • Clear communication of complex statistics in a remote setting.

Responsibilities

  • Design SAPs and trial protocols; perform analyses.
  • Analyze clinical trial data using SAS or R.
  • Interpret results and support regulatory submissions.
  • Collaborate with cross-functional teams to ensure data integrity.
  • Stay current with advances in statistical methods for pharma.
  • Provide statistical guidance throughout drug development lifecycle.

Skills

Statistical analysis
Communication skills
Problem solving
Remote collaboration

Education

Master's or PhD in Statistics/Biostatistics

Tools

SAS
R

Job description

Placements24 is seeking a highly skilled Remote Biostatistician to design, analyze, and interpret clinical trial data within the pharmaceutical sector. This fully remote role requires close collaboration with clinical operations, data management, and regulatory affairs teams to inform drug development decisions.

The ideal candidate holds a Master's or PhD in statistics or biostatistics, 5+ years of experience, and expertise in SAS or R, with a solid grasp of ICH, FDA, and EMA guidelines.

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