Statistical Programmer

Key Responsibilities Develop, validate, and maintain ADaM datasets , TLFs , and other analytical outputs for clinical trials. Support Oncology studies by ensuring accuracy, consistency, and regulatory compliance in all programming deliverables. Contribute to ISS/ISE activities , including dataset integration, analysis, and documentation.

Work closely with statisticians, data managers, and clinical teams to ensure timely and quality delivery. Assist in regulatory submissions and RTQs , providing clear, traceable, and compliant programming outputs. Collaborate in an agile environment , participating in sprint meetings, planning, and continuous improvement discussions.

Work with internal tools and platforms, including GSK-specific tools , following established standards and governance. Troubleshoot data/programming issues and propose process enhancements. Ensure adherence to CDISC standards, good programming practices, and audit-ready documentation.

Required Skills & Qualifications Proficiency in R programming (Intermediate candidates with strong learning intent and ability to upskill quickly will also be considered.) Solid experience in SAS programming , especially in a clinical/biostatistics environment. Hands-on expertise in ADaM dataset development and TLF programming . Good understanding of CDISC standards and clinical trial data flow.

Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams. Preferred Qualifications Advanced or Expert-level R Programming skills. Experience working on Oncology therapeutic area studies.

Exposure to ISS/ISE , submission workflows, and regulatory interactions (e.g., RTQs). Practical understanding of agile ways of working (Scrum/Kanban). Prior experience using or supporting GSK tools and platforms