Biostatistician II at ICON plc

What You Will Be Doing:

• Assist senior biostatisticians in clinical study support, including study design, sample size calculations, patient randomization, data analysis, and results reporting.
• Support the statistical aspects of case report form design.
• Help in writing statistical analysis plans, defining derived data, and designing statistical tables and figures for clinical summary reports.
• Write data quality control specifications, utilize relevant computer languages and software.
• Develop and execute data manipulation and analysis programs.
• Assist in conducting statistical analyses and interpreting results.
• Prepare statistical summary reports and contribute to the statistical methods sections of integrated study reports.
• Review and document analysis and programming work for audit trail purposes.
• Contribute to project document standards and maintain project-specific biostatistics files.
• Collaborate effectively with ICON project team members, including data management, statistical programming, and clinical research personnel.
• Embrace ICON's values, culture of process improvement, and commitment to client needs.

Your Profile:

• Bachelor’s degree in Statistics or a related field.
• Experience in a biostatistics role in the pharmaceutical, clinical research, or healthcare industry is preferred.
• Proficiency in statistical concepts, study design, sample size calculations, and patient randomization.
• Familiarity with statistical analysis plans and the design of statistical tables, figures, and data listings for clinical reports.
• Strong data analysis skills, including data manipulation, retrieval, and interpretation.
• Proficiency in relevant computer languages and statistical software packages.
• Ability to write and implement programs to select, retrieve, manipulate, edit, and analyze data.
• Competency in assisting with statistical analyses and result interpretation.
• Effective communication and collaboration skills to work with cross-functional teams, including data management personnel, statistical programmers, and clinical research colleagues.