Senior Sas Programmer

Overview

• Serve as a lead statistical programmer for complex clinical trial projects.
• Develop and validate SAS programs for clinical study analysis and reporting.
• Collaborate with cross-functional teams to ensure programming deliverables meet quality standards.
• Contribute to statistical analysis plans and regulatory submission documentation.
• Provide technical expertise in CDISC standards and regulatory requirements.
• Mentor programming staff and lead training initiatives within the department.
• Manage programming schedules and priorities across multiple projects.
• Participate in sponsor meetings and provide programming insights.
• Support innovation and standardization efforts within the Biostatistics Department.

Key Responsibilities & Duties

• Develop SAS programs to generate summary tables, data listings, and derived datasets.
• Validate programming outputs and resolve discrepancies with team collaboration.
• Ensure adherence to SOPs, work instructions, and regulatory guidelines.
• Maintain organized project documentation for inspection readiness.
• Define programming strategies and manage project metrics effectively.
• Lead statistical programming activities and coordinate team efforts.
• Review and provide feedback on study documentation and specifications.
• Mentor and train programming staff on clinical trial processes and standards.
• Contribute to the development of programming tools and macros for efficiency.

Job Requirements

• Bachelor’s degree in a scientific or statistical discipline or equivalent experience.
• Minimum of 5 years of SAS programming experience in clinical trials.
• Proficiency in CDISC standards and regulatory submission processes.
• Demonstrated ability to lead complex programming projects and teams.
• Strong written and verbal communication skills in English.
• Experience mentoring and training programming staff.
• Knowledge of clinical drug development and industry standards.
• Ability to manage multiple projects and adapt to changing priorities.
• Technical expertise in SAS programming and clinical trial analysis.