Biostatistician - Clinical Trials

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Flexible working hours

Remote work

Job summary

Placements24 is seeking a highly skilled Biostatistician to join a remote-first clinical development team. You will design statistical analysis plans (SAPs), perform analyses, and interpret trial results to support regulatory submissions and product development.

You will collaborate with clinical scientists, data managers, and fellow biostatisticians, using SAS or R, and stay current with regulatory guidance to ensure statistical integrity across studies.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in biostatistics within the pharmaceutical or biotech industry, with a focus on clinical trials.
• Proficiency in statistical programming languages such as SAS or R.
• Strong understanding of statistical principles applied to clinical trial design and analysis.
• Experience with regulatory requirements for statistical reporting (e.g., FDA, EMA).
• Excellent written and verbal communication skills, adept at explaining complex statistical concepts clearly in a remote setting.

Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials, including methodology, variables, and statistical models.
• Perform statistical analyses of clinical trial data using SAS, R, or similar statistical software.
• Develop tables, figures, and listings (TFLs) for clinical study reports and regulatory submissions.
• Collaborate with data management to ensure data quality and integrity.
• Provide statistical expertise and input during the design of clinical trials and protocols.
• Stay current with statistical methodologies and regulatory requirements for clinical trials.

Education

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

Tools

SAS

R

Job description

About the Role

Our client is seeking a skilled and analytical Biostatistician to join their remote-first clinical development team. This role is vital for designing statistical analysis plans, conducting analyses, and interpreting clinical trial data to support regulatory submissions and product development. You will collaborate closely with clinical scientists, data managers, and other biostatisticians to ensure the rigorous statistical integrity of all clinical studies. As a fully remote position, you will have the flexibility to work from anywhere while making critical contributions to our client's groundbreaking pharmaceutical research efforts.

Key Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials, including methodology, variables, and statistical models.
• Perform statistical analyses of clinical trial data using SAS, R, or similar statistical software.
• Develop tables, figures, and listings (TFLs) for clinical study reports and regulatory submissions.
• Collaborate with data management to ensure data quality and integrity.
• Provide statistical expertise and input during the design of clinical trials and protocols.
• Stay current with statistical methodologies and regulatory requirements for clinical trials.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in biostatistics within the pharmaceutical or biotech industry, with a focus on clinical trials .
• Proficiency in statistical programming languages such as SAS or R.
• Strong understanding of statistical principles applied to clinical trial design and analysis.
• Experience with regulatory requirements for statistical reporting (e.g., FDA, EMA).
• Excellent written and verbal communication skills, adept at explaining complex statistical concepts clearly in a remote setting.

Benefits

• Competitive salary and performance-based bonus.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with employer match.
• Flexible working hours and a fully remote work environment.
• Opportunities for professional development, training, and attending scientific conferences.