Biostatistician - Clinical Data Analysis

Placements24; Kimberley; Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Flexible remote work

Access to advanced software tools

Job summary

Placements24 is seeking a highly skilled Biostatistician to join a fully remote data sciences team focusing on clinical trial analysis.

You will design SAPs, perform analyses using SAS or R, interpret results, and prepare statistical sections for reports and submissions. Requires 4+ years in pharma/biotech and a Master’s or PhD.

This role offers flexible remote work, access to advanced software, and opportunities to contribute to drug development programs.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in the pharmaceutical or biotechnology industry, preferably in clinical development.
• Proficiency in SAS or R.
• Strong understanding of clinical trial design, statistical methodologies, and regulatory requirements (e.g., ICH).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a remote team environment.

Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials, ensuring alignment with study objectives and regulatory requirements.
• Perform statistical analyses of clinical trial data using SAS, R, or other statistical software.
• Interpret statistical results and collaborate with clinical teams to translate findings into meaningful conclusions.
• Prepare statistical sections of clinical study reports, regulatory submissions, and publications.
• Contribute to the design of clinical trial protocols, advising on sample size calculations and study endpoints.
• Ensure adherence to statistical standards, data quality, and regulatory guidelines.

Skills

Analytical thinking

Problem-solving

Communication skills

Independent & team collaboration

Education

Master's or PhD in Biostatistics or related field

Tools

SAS

R

Job description

About the Role

Our client is seeking a highly skilled Biostatistician to join their remote data sciences team, focusing on clinical trial analysis. This role is essential for interpreting complex clinical data, ensuring the statistical validity of study results, and contributing to the overall success of drug development programs. You will work closely with clinical teams, data managers, and medical writers to design study protocols, develop analysis plans, and generate statistical reports. This fully remote position offers an excellent opportunity for a talented biostatistician to apply advanced statistical methods to impactful clinical research from anywhere.

Key Responsibilities

• Design statistical analysis plans (SAPs) for clinical trials, ensuring alignment with study objectives and regulatory requirements.
• Perform statistical analyses of clinical trial data using SAS, R, or other statistical software.
• Interpret statistical results and collaborate with clinical teams to translate findings into meaningful conclusions.
• Prepare statistical sections of clinical study reports, regulatory submissions, and publications.
• Contribute to the design of clinical trial protocols, advising on sample size calculations and study endpoints.
• Ensure adherence to statistical standards, data quality, and regulatory guidelines.

Requirements

• Master's or Ph.D. in Biostatistics, Statistics, or a related quantitative field.
• Minimum of 4 years of experience as a Biostatistician in the pharmaceutical or biotechnology industry, preferably in clinical development.
• Proficiency in statistical analysis software such as SAS or R.
• Strong understanding of clinical trial design, statistical methodologies, and regulatory requirements (e.g., ICH).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a remote team environment.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on diverse and challenging clinical development projects.
• Access to cutting-edge statistical software and analytical tools.
• Flexible remote working environment with opportunities for professional growth.
• Collaborative and innovative data science team.