Lead Biostatistician

Placements24; Cape Town; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Annual bonus

Health insurance

Pension fund

Conference attendance

Research resources

Job summary

Placements24 in Cape Town is seeking a highly experienced Lead Biostatistician to spearhead statistical analysis for pioneering research initiatives. You will design methodologies, oversee data analysis and interpret complex datasets to drive scientific discovery.

You will work with researchers and clinicians, lead analytical teams, mentor junior statisticians, and ensure regulatory compliance and data integrity across studies.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 7 years of biostatistical analysis experience in a research or pharmaceutical setting.
• Proficiency in SAS, R, or SPSS.
• Strong understanding of clinical trial design and regulatory requirements.
• Experience with longitudinal data analysis and survival analysis.
• Excellent communication and collaboration skills, with the ability to lead analytical teams.

Responsibilities

• Develop and implement statistical analysis plans for clinical trials and observational studies.
• Manage and analyze large-scale biological datasets, ensuring data quality and integrity.
• Apply advanced statistical techniques, including regression analysis, survival analysis, and mixed-effects models.
• Interpret statistical results and present findings clearly to both technical and non-technical audiences.
• Collaborate with research teams to define study endpoints and design appropriate statistical methods.
• Mentor junior biostatisticians and contribute to the development of statistical best practices.

Skills

Biostatistics

Leadership

Data analysis

Regulatory knowledge

Education

Master's or PhD in Biostatistics

Quantitative field

Tools

SAS

R

SPSS

Job description

About the Role

Our client is seeking a highly experienced Lead Biostatistician to spearhead statistical analysis efforts for their groundbreaking research initiatives in Cape Town . This pivotal role involves designing statistical methodologies, overseeing data analysis, and interpreting complex datasets to drive scientific discovery. You will work closely with a multidisciplinary team of researchers and clinicians, ensuring the integrity and validity of research findings. The ideal candidate possesses exceptional analytical skills, a deep understanding of statistical modeling in a biological context, and the ability to translate statistical results into actionable insights for research strategy.

Key Responsibilities

• Develop and implement statistical analysis plans for clinical trials and observational studies.
• Manage and analyze large-scale biological datasets, ensuring data quality and integrity.
• Apply advanced statistical techniques, including regression analysis, survival analysis, and mixed-effects models.
• Interpret statistical results and present findings clearly to both technical and non-technical audiences.
• Collaborate with research teams to define study endpoints and design appropriate statistical methods.
• Mentor junior biostatisticians and contribute to the development of statistical best practices.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in biostatistical analysis within a research or pharmaceutical setting.
• Proficiency in statistical software packages such as SAS, R, or SPSS.
• Strong understanding of clinical trial design and regulatory requirements.
• Experience with longitudinal data analysis and survival analysis.
• Excellent communication and collaboration skills, with the ability to lead analytical teams.

Benefits

• Generous salary package and annual bonus opportunities.
• Comprehensive health, disability, and life insurance coverage.
• Pension fund contributions and retirement planning assistance.
• Opportunities for attending international scientific conferences and workshops.
• A collaborative and intellectually stimulating work environment in Cape Town .
• Access to advanced computational resources and datasets.