Biostatistician - Clinical Trials

Placements24

Mossel Bay

On-site

ZAR 900,000 - 1,200,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Health, dental, and vision insurance
Generous paid time off
Retirement savings plan
Professional development
Exposure to diverse clinical research

Job summary

Placements24 is seeking an experienced Biostatistician to join its clinical research team in Mossel Bay. You will design statistical analysis plans for clinical trials, perform analyses with SAS or R, and collaborate with investigators, data managers and regulatory affairs to support data integrity and regulatory submissions.

Ideal candidates hold a Master’s or PhD in Biostatistics and have at least three years of trial experience, with strong communication skills and a solid understanding of

Qualifications

  • Master’s or PhD in Biostatistics, Statistics, or a related quantitative field.
  • Minimum of 3 years of experience as a biostatistician in pharma/biotech with clinical trials.
  • Proficiency in SAS or R and strong knowledge of clinical trial design and regulatory requirements.

Responsibilities

  • Design statistical analysis plans for clinical trials, including sample size calculations and randomization schemes.
  • Perform statistical analyses of clinical trial data using SAS or R, and interpret results accurately.
  • Contribute to the development of clinical study protocols and case report forms.
  • Prepare statistical sections of regulatory submissions, manuscripts, and study reports.
  • Collaborate with clinical teams to ensure data quality and adherence to statistical principles.
  • Provide statistical expertise and guidance throughout the trial lifecycle.

Skills

Statistical analysis
Analytical thinking
Communication skills
Team collaboration

Education

Master's or PhD in Biostatistics or related field

Tools

SAS
R

Job description

About the Role

Our client is seeking an experienced Biostatistician to join their dynamic clinical research team in Mossel Bay . This role is critical for the design, execution, and analysis of clinical trials, ensuring the integrity and validity of the generated data. You will work closely with clinical investigators, data managers, and regulatory affairs professionals to support the development of life-saving therapies. This position offers a significant opportunity to contribute to impactful research within a leading organization, collaborating with a dedicated team of professionals in a specialized environment.

Key Responsibilities
  • Design statistical analysis plans for clinical trials, including sample size calculations and randomization schemes.
  • Perform statistical analyses of clinical trial data using SAS or R, and interpret results accurately.
  • Contribute to the development of clinical study protocols and case report forms.
  • Prepare statistical sections of regulatory submissions, manuscripts, and study reports.
  • Collaborate with clinical teams to ensure data quality and adherence to statistical principles.
  • Provide statistical expertise and guidance throughout the trial lifecycle.
Requirements
  • Master's or PhD in Biostatistics, Statistics, or a related quantitative field.
  • Minimum of 3 years of experience as a biostatistician in the pharmaceutical or biotech industry, specifically with clinical trials.
  • Proficiency in statistical software such as SAS or R is essential.
  • Solid understanding of clinical trial design, regulatory requirements, and statistical methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively within a multidisciplinary team in our Mossel Bay office.
Benefits
  • Competitive salary and performance-based bonus opportunities.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and retirement savings plan.
  • Opportunities for professional development and continuing education.
  • Exposure to diverse and impactful clinical research projects.
  • A collaborative work environment focused on scientific rigor and patient outcomes.
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