Biostatistician - Pharmaceutical Research

Placements24; Free State; Hybride; ZAR 800 000 - 1 200 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Professional development in statistics

Competitive compensation

Résumé du poste

Placements24 is seeking a highly skilled Biostatistician to contribute to pharmaceutical research and development, supporting remote and on-site work from the Upington area. You will design SAPs, perform complex analyses, and interpret results from clinical trials in collaboration with clinical scientists, data managers, and medical writers.

The role offers a stimulating intellectual challenge, exposure to regulatory submissions, and opportunities for professional development in statistical

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Proven experience as a Biostatistician in the pharmaceutical/biotech industry with trial design knowledge.
• Proficiency in SAS or R.
• In-depth knowledge of methodologies relevant to drug development and regulatory requirements.
• Excellent analytical, problem-solving, and communication skills.

Responsabilités

• Design SAPs for clinical trials and studies with clinical teams.
• Perform statistical analyses of trial data using SAS, R, or SPSS.
• Interpret results and prepare tables, figures, and listings for submissions/publications.
• Provide statistical input into study protocols, CRFs, and database design.
• Ensure methodologies meet regulatory requirements and best practices.
• Validate statistical programs and outputs for accuracy and reproducibility.
• Communicate findings clearly to diverse audiences.

Connaissances

Analytical thinking

Problem-solving

Communication skills

Formation

Master's or Ph.D. in Biostatistics or related field

Outils

SAS

R

Description du poste

About the Role

Our client is seeking a highly skilled Biostatistician to contribute to their pharmaceutical research and development efforts, supporting remote and on-site work from the Upington area. This critical role involves designing statistical analysis plans, performing complex data analysis, and interpreting results from clinical trials and other research studies. You will collaborate closely with clinical scientists, data managers, and medical writers to ensure the integrity and validity of research findings, ultimately contributing to the development of new therapies. This position offers a stimulating intellectual challenge and the opportunity to work on groundbreaking projects that impact patient lives.

Key Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials and research studies in collaboration with clinical teams.
• Perform statistical analyses of clinical trial data using statistical software packages (e.g., SAS, R, SPSS).
• Interpret analysis results and prepare statistical reports, tables, figures, and listings for regulatory submissions and publications.
• Provide statistical input into study protocols, case report forms (CRFs), and database design.
• Ensure statistical methodologies and analyses comply with regulatory requirements and industry best practices.
• Validate statistical programs and outputs to ensure accuracy and reproducibility.
• Contribute to the interpretation of study results and communicate findings effectively to diverse audiences.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Proven experience as a Biostatistician in the pharmaceutical or biotechnology industry, with a strong understanding of clinical trial design and analysis.
• Proficiency in statistical programming languages such as SAS or R.
• In-depth knowledge of statistical methodologies relevant to drug development and regulatory requirements.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex statistical concepts clearly.

Benefits

• Competitive salary and annual performance bonus.
• Comprehensive medical, dental, and vision insurance.
• Retirement savings plan with employer matching.
• Flexible work arrangements, including a hybrid model supporting work-life balance.
• Opportunities for continuous learning and professional development in statistical methodologies.
• Engaging and collaborative environment contributing to innovative pharmaceutical research.