Clinical Programmer

Overview

• Develop and validate SAS programs for data review, cleaning, and reconciliation listings adhering to industry standards.
• Create listings, tables, profiles, figures, and datasets following standard processes and specifications.
• Execute, debug, and improve existing SAS programs and macros to enhance efficiency.
• Perform user administration in EDC systems using templates and best practices.
• Develop SAS macros and SQL scripts to optimize programming workflows.
• Conduct data mappings and quality checks using annotated CRFs and industry standards.
• Collaborate with data managers and study teams to resolve data issues effectively.
• Maintain detailed documentation of programming activities and validation processes.

Key Responsibilities & Duties

• Develop and execute SAS programs for generating data visualization packages and complex reports.
• Analyze and process data reconciliation and integration requirements, creating applicable programs.
• Facilitate specification development for programming deliverables and ensure quality control.
• Perform quality checks on programmed data and reports to meet regulatory standards.
• Provide support for routine programming, validation, and documentation activities.
• Assist in statistical programming activities and ensure adherence to internal guidelines.
• Identify and address data quality and consistency issues effectively.
• Collaborate with cross-functional teams to ensure seamless integration of programming deliverables.

Job Requirements

• Bachelor’s degree or higher in scientific, biological, statistical, or computer science-related fields.
• 4-6 years of proven experience in Pharma/Biotech/SAS programming roles.
• Proficiency in SAS programming and familiarity with CDISC/CDASH, SDTM standards.
• Strong analytical, problem-solving, and organizational skills with attention to detail.
• Ability to adapt to changing situations and work independently on complex assignments.
• Excellent interpersonal and communication skills for effective collaboration.
• Knowledge of data standardization practices and annotated CRFs.
• SAS certification and experience with statistical programming preferred.