Senior Statistician - Clinical Trials

Placements24; Vereeniging; Hybrid; ZAR 950,000 - 1,350,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Retirement plan with employer match

Professional development opportunities

Hybrid work arrangement

Job summary

Placements24 in Vereeniging seeks an experienced Senior Statistician to join its clinical research team. The role involves designing SAPs, analyzing trial data, and supporting regulatory submissions in a hybrid setup.

You will work with SAS or R, develop statistical analyses, interpret results, and contribute to cross-functional teams while adhering to GCP.

Qualifications

• Master's or PhD in Statistics, Biostatistics, or related field.
• 5+ years of statistical analysis experience in pharmaceutical/biotech, preferably with clinical trials.
• Proficiency with SAS or R.
• Strong understanding of clinical trial design and statistical methods for drug development.
• Excellent written and verbal communication; ability to present complex statistics clearly.
• Hybrid work environment with on-site Vereeniging presence as needed.

Responsibilities

• Design SAPs for clinical trials aligning with study objectives and regulatory requirements.
• Perform complex analyses using SAS or R (e.g., regression, survival, mixed models).
• Interpret results and translate into actionable conclusions for clinical teams.
• Prepare statistical sections for CSRs, manuscripts, and regulatory submissions.
• Provide statistical guidance to cross-functional teams.
• Ensure adherence to GCP and relevant statistical guidelines.

Skills

Statistical analysis

Regulatory knowledge

Clinical trials

Communication

Education

Master's/PhD in Statistics or Biostatistics

Tools

SAS

R

Job description

About the Role

Our client is seeking an experienced Senior Statistician to join their vital clinical research team, offering a hybrid work model in Vereeniging . This role is critical for the design, analysis, and interpretation of clinical trial data, ensuring the integrity and validity of research findings. You will play a key role in developing statistical analysis plans, programming complex analyses, and contributing to regulatory submissions. This is an excellent opportunity for a statistically minded professional who thrives on tackling challenging problems, collaborating within a multidisciplinary team, and making a significant contribution to advancing healthcare through rigorous scientific methodology.

Key Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials, ensuring alignment with study objectives and regulatory requirements.
• Perform complex statistical analyses using SAS or R, including regression, survival analysis, and mixed models.
• Interpret statistical results and collaborate with clinical teams to translate findings into meaningful conclusions.
• Prepare statistical sections for clinical study reports, manuscripts, and regulatory submissions.
• Provide statistical expertise and guidance to cross-functional teams.
• Ensure adherence to Good Clinical Practice (GCP) and relevant statistical guidelines.

Requirements

• Master's or Ph.D. in Statistics, Biostatistics, or a related quantitative field.
• Minimum of 5 years of experience in statistical analysis within the pharmaceutical or biotech industry, preferably in clinical trials.
• Proficiency in statistical software packages such as SAS or R.
• Strong understanding of clinical trial design and statistical methodologies relevant to drug development.
• Excellent written and verbal communication skills, with the ability to present complex statistical concepts clearly.
• Ability to work effectively in a hybrid environment, contributing both remotely and on-site in Vereeniging .

Benefits

• Competitive annual salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer match.
• Opportunities for professional development and continuing education.
• Flexible hybrid work arrangement balancing remote and office work.
• A collaborative and scientifically driven work environment.