Clinical Programmer

Overview

• Develop and validate SAS programs to generate data review, cleaning, and reconciliation listings for clinical studies.
• Create listings, tables, profiles, figures, and datasets per industry standards and specifications.
• Execute and debug existing SAS programs, resolving errors and implementing improvements.
• Perform user administration in EDC systems using established templates and best practices.
• Develop and apply SAS macros and SQL to enhance programming efficiency.
• Conduct data mappings between sources and outputs using annotated CRFs and industry standards.
• Develop data visualization packages and perform data reconciliation as required.
• Collaborate with data managers and study teams to resolve data issues and ensure quality.
• Maintain detailed documentation of programming activities and validation processes.

Key Responsibilities & Duties

• Develop SAS programs for clinical data review, cleaning, and reconciliation tasks.
• Generate and validate listings, tables, figures, and datasets per specifications.
• Execute existing programs, debug issues, and implement enhancements.
• Perform EDC user administration and apply SAS macros for efficiency.
• Conduct data mappings and quality checks using annotated CRFs.
• Develop visualization packages and reconcile data as needed.
• Collaborate with study teams to resolve data issues and ensure deliverables.
• Assist in statistical programming activities and perform quality control checks.
• Document programming activities and validation processes comprehensively.

Job Requirements

• Bachelor’s degree in scientific, biological, statistical, or computer science field required.
• Minimum 5 years of experience in Pharma/Biotech SAS programming; 8 years preferred.
• Proficiency in SAS programming and familiarity with CDISC/CDASH and SDTM standards.
• Strong analytical, problem-solving, organizational, and communication skills.
• Experience with data mappings, reconciliation, and visualization development.
• Ability to perform quality checks and resolve data consistency issues.
• Knowledge of industry best practices and regulatory standards.
• SAS certification and familiarity with statistical programming preferred.
• Adaptability, integrity, and accountability in independent and team settings.