Remote Biostatistician

Placements24; Kimberley; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Home office stipend

Health insurance

Remote work environment

Professional growth opportunities

Job summary

Placements24 is seeking a highly skilled Remote Biostatistician to contribute to cutting-edge research in a fully remote role serving teams across Canada. The role focuses on designing statistical analysis plans, conducting analyses for clinical trials, and delivering clear interpretations to cross-functional teams.

The candidate will have 4+ years in biostatistics within pharma/biotech, proficiency in SAS and/or R, and experience with regulatory submissions.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in pharma/biotech with focus on clinical trials.
• Proficiency in SAS and/or R.
• Strong understanding of statistical methods in drug development and regulatory affairs.
• Experience with regulatory submissions (IND, NDA).

Responsibilities

• Design SAPs for clinical studies, selecting appropriate methodologies.
• Perform statistical analyses of trial data using SAS or R.
• Interpret results and communicate findings to study teams, including non-statisticians.
• Collaborate with researchers, data managers, and writers to ensure data quality.
• Contribute to trial design, including sample size and randomization schemes.
• Prepare statistical sections of reports and regulatory submissions.

Skills

Biostatistics

Clinical trials

Statistical analysis

Communication

Education

Master's or PhD in Biostatistics/Statistics

Tools

SAS

R

Job description

About the Role

Our client is seeking a highly skilled and analytical Remote Biostatistician to contribute to their cutting-edge research and development efforts, operating fully remotely to serve teams based around Kimberley and beyond. This critical role involves designing statistical analysis plans, conducting sophisticated statistical analyses, and interpreting results for clinical trials and other research projects. You will play a key role in ensuring the integrity and validity of study data, providing crucial statistical insights that inform decision-making for drug development and regulatory submissions. This is an excellent opportunity for a dedicated statistician looking for a challenging and impactful remote role within the pharmaceutical industry.

Key Responsibilities

• Design statistical analysis plans (SAPs) for clinical studies, ensuring appropriate methodologies are selected.
• Perform statistical analyses of clinical trial data using statistical software packages (e.g., SAS, R).
• Interpret statistical results and communicate findings clearly to study teams, including non-statisticians.
• Collaborate with clinical researchers, data managers, and medical writers to ensure data quality and appropriate analysis.
• Contribute to the design of clinical trials, including sample size calculations and randomization schemes.
• Prepare statistical sections of clinical study reports, regulatory submissions, and manuscripts for publication.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a closely related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in the pharmaceutical or biotech industry, with a focus on clinical trials.
• Proficiency in statistical programming languages such as SAS and/or R.
• Strong understanding of statistical methods commonly used in drug development and regulatory affairs.
• Experience with study design, data analysis, and reporting for regulatory submissions (e.g., IND, NDA).
• Excellent communication, collaboration, and problem-solving skills, essential for a remote work environment.

Benefits

• Competitive annual salary and performance-based incentives.
• Full support for a remote work setup, including home office stipend.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional growth, training, and attending statistical conferences.
• The chance to make a significant impact on the development of life-saving medicines from a remote location.