Statistical Programmer

About the job

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 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: • 4-14 years of Industrial experience • 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.

Requirements

• R programming
• SAS programming
• ADaM dataset development

Preferred Technologies

• R programming
• SAS programming
• ADaM dataset development

Benefits

• Opportunity to work on impactful Oncology research
• Continuous learning and upskilling environment
• Collaborative, agile work culture