Statistical Programmer

As a Statistical Programmer at ICON, you will be an integral part of the team responsible for developing, validating, and executing statistical programs to support clinical trial analysis and reporting. Your expertise in SAS, R, or similar programming languages will be crucial in ensuring the accurate interpretation of clinical data, contributing to the successful delivery of research projects. Key Responsibilities: - Develop, validate, and maintain complex statistical programs for data manipulation, analysis, and reporting in clinical trials. - Collaborate with biostatisticians and cross-functional teams to interpret study requirements and implement statistical analyses accurately. - Prepare and review statistical analysis plans (SAPs), programming specifications, and derived datasets to meet regulatory standards. - Ensure data integrity and compliance with industry regulations, including ICH/GCP guidelines, throughout the programming process. - Mentor junior programmers and provide training on programming techniques and best practices. Qualifications: - Bachelors degree in statistics, mathematics, computer science, or a related field; advanced degree is a plus. - 5+ years of experience as a statistical programmer in the clinical research industry, with a strong understanding of statistical methodologies and programming. - Proficiency in SAS and R, exposure to Python and R Shiny, and experience in clinical data management systems. - Strong analytical and problem-solving skills, with attention to detail and the ability to work independently. - Excellent communication skills to explain complex statistical concepts to non-technical stakeholders and collaborate effectively with team members. Please note that the company has not provided any additional details in the job description. As a Statistical Programmer at ICON, you will be an integral part of the team responsible for developing, validating, and executing statistical programs to support clinical trial analysis and reporting. Your expertise in SAS, R, or similar programming languages will be crucial in ensuring the accurate interpretation of clinical data, contributing to the successful delivery of research projects. Key Responsibilities: - Develop, validate, and maintain complex statistical programs for data manipulation, analysis, and reporting in clinical trials. - Collaborate with biostatisticians and cross-functional teams to interpret study requirements and implement statistical analyses accurately. - Prepare and review statistical analysis plans (SAPs), programming specifications, and derived datasets to meet regulatory standards. - Ensure data integrity and compliance with industry regulations, including ICH/GCP guidelines, throughout the programming process. - Mentor junior programmers and provide training on programming techniques and best practices. Qualifications: - Bachelors degree in statistics, mathematics, computer science, or a related field; advanced degree is a plus. - 5+ years of experience as a statistical programmer in the clinical research industry, with a strong understanding of statistical methodologies and programming. - Proficiency in SAS and R, exposure to Python and R Shiny, and experience in clinical data management systems. - Strong analytical and problem-solving skills, with attention to detail and the ability to work independently. - Excellent communication skills to explain complex statistical concepts to non-technical stakeholders and collaborate effectively with team members. Please note that the company has not provided any additional details in the job description.