Senior Statistician - Remote

Overview

The Senior Statistician is responsible for applying biostatistical methods to support clinical trials and data management, ensuring adherence to project, organizational, and regulatory standards.

In Short

• Carry out statistical analyses and guide programmers using standard software packages.
• Provide statistical support to project teams and external stakeholders.
• Convert and present biometrical trial technologies into publishable scientific results.
• Prepare statistical analysis plans and oversee data collection and management.
• Assist in preparing statistical sections of study reports and publications.
• Work with data management teams to ensure data corresponds with project protocols.
• Act as a subject matter expert in statistical methodologies.
• Ensure compliance with trial and regulatory requirements in statistical analyses.
• Home-based working conditions.
• A Bachelor's or Master's degree with 1-3 years of related experience is required.

Requirements

• A minimum of a Bachelor's or Master's degree in a relevant field.
• Professional designation in statistics or related discipline.
• 1-3 years of experience in biostatistics or clinical trial support.
• Strong knowledge of statistical software packages.
• Ability to interpret and communicate complex statistical results.
• Experience in report writing and data presentation.
• Familiarity with regulatory standards in clinical trials.
• Excellent communication and collaboration skills.
• Attention to detail and strong analytical skills.
• Ability to work independently in a remote environment.

Benefits

• Opportunity to work with a global research organization.
• Home-based working flexibility.
• Contribution to meaningful clinical research.
• Professional development opportunities.
• Collaborative work environment with experienced professionals.
• Competitive salary and benefits package.
• Engagement in innovative biometrical processes.
• Support for academic research initiatives.
• Access to cutting-edge statistical methodologies.
• Networking opportunities within the research community.