Statistical Programmer

We are currently seeking a Statistical Programmer to join our diverse and dynamic team. As a Statistical Programmer at ICON, you will play a vital role in the development, validation, and execution of statistical programs to support clinical trial analysis and reporting. Your expertise will contribute to the accurate interpretation of clinical data, helping to ensure the successful delivery of research projects.

• Developing, validating, and maintaining complex statistical programs (SAS, R, or similar) for data manipulation, analysis, and reporting in clinical trials.

• Collaborating with biostatisticians and cross-functional teams to interpret study requirements and ensure the accurate implementation of statistical analyses.

• Preparing and reviewing statistical analysis plans (SAPs), programming specifications, and derived datasets to meet regulatory standards.

• Ensuring data integrity and compliance with industry regulations, including ICH/GCP guidelines, throughout the programming process.

• Mentoring junior programmers and assisting in training team members on programming techniques and best practices.

• Bachelor’s degree in statistics, mathematics, computer science, or a related field; advanced degree is a plus.

• 5+ years experience as a statistical programmer within the clinical research industry, with strong knowledge of statistical methodologies and programming.

• Proficiency in programming languages SAS and R, along with exposure to Python and R Shiny with experience in clinical data management systems.

• Strong analytical and problem-solving skills, with a keen attention to detail and the ability to work independently.

• Excellent communication skills, with the ability to convey complex statistical concepts to non-technical stakeholders and collaborate effectively with team members.

• Proficiency in programming languages SAS and R, along with exposure to Python and R Shiny with experience in clinical data management systems.

• 5+ years experience as a statistical programmer within the clinical research industry, with strong knowledge of statistical methodologies and programming.