Biostatistician

Placements24

Pretoria

Hybrid

ZAR 900,000 - 1,500,000

Full time

2 days ago
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Job summary

Placements24 is seeking a Biostatistician for a Pretoria-based role with a leading pharmaceutical research organization. You will design analysis plans, run complex analyses in SAS or R, and generate tables, listings and figures to support clinical studies.

Collaboration with scientists, data managers and regulatory teams is essential. Ideal candidates hold a Master’s or PhD in statistics or biostatistics, 3–5 years of clinical trial experience, and strong communication skills to explain

Qualifications

  • Master's or Ph.D. in Statistics, Biostatistics, or related field.
  • Excellent understanding of statistical methods used in clinical trials.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication in clear technical language.

Responsibilities

  • Develop statistical analysis plans (SAPs) for clinical trials and define endpoints and methods.
  • Perform statistical analyses of trial data using SAS or R.
  • Generate tables, listings, and figures (TLFs) to summarize results.
  • Collaborate with clinical teams on trial design, including sample size and randomization.
  • Interpret results for CSRs and regulatory submissions.
  • Review CRFs and database specifications from a statistical perspective.
  • Stay updated on regulatory guidelines (ICH) and best practices.
  • Communicate statistical findings to non-statistical audiences.
  • Participate in cross-functional team meetings and provide statistical expertise.

Skills

Biostatistics
Statistical methods
Problem solving
Communication

Education

Master's or PhD in Statistics/Biostatistics

Tools

SAS
R

Job description

About the Role

Our client, a prominent pharmaceutical research organization, is actively seeking a skilled Biostatistician to contribute to their clinical trial operations based in Pretoria . This role is crucial for designing statistical analysis plans, performing complex statistical analyses, and interpreting results for clinical studies. You will work closely with clinical scientists, data managers, and other stakeholders to ensure the rigorous statistical integrity of clinical research. The ideal candidate will have a strong foundation in statistical methodologies relevant to clinical trials, excellent programming skills, and the ability to communicate complex statistical concepts clearly. This position offers the opportunity to be involved in diverse therapeutic areas and contribute to the development of innovative treatments. We value analytical rigor, collaborative teamwork, and a commitment to scientific excellence. Join a team that is making a tangible difference in patient care through data-driven insights.

Key Responsibilities
  • Develop statistical analysis plans (SAPs) for clinical trials, defining study endpoints and analysis methods.
  • Perform statistical analyses of clinical trial data using SAS or R, ensuring accuracy and compliance with protocols.
  • Generate tables, listings, and figures (TLFs) to summarize study results.
  • Collaborate with clinical teams to design clinical trials, including sample size calculations and randomization schemes.
  • Interpret statistical results and contribute to the clinical study reports (CSRs) and regulatory submissions.
  • Review Case Report Forms (CRFs) and database specifications from a statistical perspective.
  • Stay updated on statistical methodologies, regulatory guidelines (e.g., ICH), and industry best practices.
  • Communicate statistical findings effectively to non-statistical audiences.
  • Participate in cross-functional team meetings and provide statistical expertise.
Requirements
  • Master's or Ph.D. degree in Statistics, Biostatistics, or a related quantitative field.
  • Minimum of 3-5 years of experience in biostatistics within the pharmaceutical or biotechnology industry, focusing on clinical trials.
  • Proficiency in statistical programming languages such as SAS (required) and R (preferred).
  • Solid understanding of statistical methods commonly used in clinical trial analysis (e.g., hypothesis testing, regression, survival analysis).
  • Knowledge of clinical trial design principles and regulatory requirements.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to explain complex statistical concepts clearly.
  • Ability to work effectively both independently and as part of a multidisciplinary team.
Benefits
  • Our client offers a competitive salary package, commensurate with experience and qualifications.
  • Employees benefit from comprehensive health insurance, a generous retirement plan, and opportunities for professional development, including workshops and conferences.
  • The role is located in Pretoria , offering a dynamic urban environment.
  • We provide ample paid time off, including vacation, sick leave, and public holidays.
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