Clinical SAS Programmer

#W2 Role

Job Title: Clinical SAS Programmer

No of positions- 2

Location- Remote
Experience Required:6 Years
Education: Bachelors degree in Computer Science Computer Engineering or related technical field

Job Summary

We are seeking a Clinical SAS Programmer with strong experience in SAS programming and CDISC standards within a regulatory environment. The ideal candidate will be responsible for creating and validating SDTM domains and ADaM datasets developing mapping specifications and supporting clinical data programming activities with accuracy and compliance.

Key Responsibilities

• Develop and validate specifications for creating SDTM domains from raw/source clinical data.
• Create and validate CDISC-compliant SDTM domains and ADaM datasets using SAS.
• Prepare mapping specifications from CRF and other raw data sources to appropriate SDTM domains.
• Develop specifications to map SDTM datasets to ADaM datasets.
• Write clear and detailed programming instructions for complex data derivations.
• Perform dataset validation and quality checks to ensure regulatory compliance and data integrity.
• Develop SAS macros and reusable programs to improve efficiency and streamline workflow.
• Apply advanced SAS programming techniques for custom clinical data programming needs.
• Work effectively in a dynamic environment and adapt quickly to changing project requirements.

Required Qualifications

• Bachelors degree in Computer Science Computer Engineering or a related technical field.
• 4 years of experience in clinical SAS programming.
• Strong hands-on experience using SAS to create CDISC-compliant outputs in a regulated clinical environment.
• Solid understanding of SDTM ADaM and clinical data standards.
• Experience in writing and validating dataset specifications.
• Familiarity with P21 software.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with R and Python is a strong plus.
• Ability to work independently and collaboratively within cross-functional teams.
• Strong attention to detail and problem-solving skills.