Clinical SAS Programmer

ACL Digital

$90K — $120K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Statistics, or a related field.
  • 2+ years of experience in statistical programming for clinical trials.
  • Proficiency in SAS programming, including macros and templates.
  • Knowledge of CDISC standards (ADaM, SDTM) and regulatory submissions.
  • Experience in developing statistical analysis plans and technical documentation.

Responsibilities

  • Design and validate statistical programs and reporting outputs for clinical trials.
  • Build and maintain analysis datasets in compliance with CDISC standards.
  • Develop and optimize SAS programs for data review and reporting.
  • Lead the review of key documentation to ensure consistency across deliverables.
  • Collaborate with multidisciplinary teams to define programming needs and ensure data quality.
  • Create regulatory submission documents to support study reports and submissions.
  • Support data integration and reconciliation through validation routines.

Benefits

  • Professional development opportunities including mentorship.
  • Exposure to diverse therapeutic areas in clinical research.
  • Collaborative work environment with biostatisticians and clinical teams.
  • Opportunity to contribute to the continuous improvement of programming standards.
Full Job Description
• Design, develop, and validate statistical programs, datasets, and reporting outputs (tables, listings, and figures) for clinical trials in alignment with project requirements and regulatory standards.
• Build and maintain analysis datasets (ADaM) and study data tabulation models (SDTM) in compliance with CDISC standards, ensuring traceability and submission readiness.
• Develop, maintain, and optimize SAS programs, macros, and templates for clinical data review, reconciliation, and reporting to support both production and quality control (QC) workflows.
• Lead the review of key study documentation including statistical analysis plans (SAP), annotated CRFs, mock shells, and programming specifications to ensure consistency and alignment across deliverables.
• Engineer robust, auditable programming workflows and data traceability pipelines, adhering to Good Clinical Practices (GCP), ICH guidelines, and internal standard operating procedures (SOPs).
• Collaborate with biostatisticians, data managers, and clinical teams to identify programming needs, define deliverable requirements, and ensure timely, high-quality data outputs for regulatory submissions and publications.
• Create regulatory submission documents such as Define.xml, SDRG, and ADRG to support clinical study reports (CSRs) and electronic data submissions.
• Support external data integration and reconciliation through programmatic validation routines and automated data cleaning processes, enhancing the quality and reliability of study datasets.
• Participate in the continuous improvement of statistical programming standards, processes, and reusable assets to drive efficiency and consistency across studies and therapeutic areas.
• Provide mentorship and technical leadership to junior statistical programmers by conducting code reviews, sharing best practices, and contributing to group knowledge development.
• MS with 2 years of Experience
• Requires Master's degree or equivalent in Computer Science, Statistics or closely related field

Contact Person: [email protected]

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