Clinical SAS Programmer

Net2Source

King of Prussia (PA)

On-site

USD 90,000 - 130,000

Full time

6 days ago
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Job summary

ACL Digital is seeking a qualified Statistical Programmer in King of Prussia, PA to design, develop, and validate SAS programs for clinical trials.

You will build ADaM datasets and SDTM, generate tables, listings, and figures, and support regulatory submissions with Define.xml, SDRG, and ADRG.

A Master’s degree in Computer Science or Statistics and at least 2 years of experience are required; equal opportunity employer.

Qualifications

  • MS with 2 years of experience in clinical trial programming.
  • Master's degree or equivalent in Computer Science, Statistics or closely related field.
  • Experience in SAS programming and data analysis.

Responsibilities

  • Design, develop, and validate SAS programs for clinical trials.
  • Build ADaM datasets and SDTM, ensure traceability and submission readiness.
  • Create regulatory submission outputs such as Define.xml, SDRG, and ADRG.
  • Provide data quality checks and collaborate with biostatistics teams.
  • Mentor junior statistical programmers through code reviews.

Skills

Statistical programming
SAS programming
Clinical data analysis
Team collaboration

Education

Master's degree in Computer Science or Statistics

Tools

SAS Software
Define.xml
CDISC SDTM/ADaM

Job description

ACL Digital is proud to be an Equal Opportunity Employer. We are committed to Equal Employment Opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

  • 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

ACL Digital is proud to be an Equal Employment Opportunity Employer. We are committed to diversity and inclusion regardless of age, race, color, ancestry, religion or creed, sex, national origin, sexual orientation, citizenship, marital status, disability, gender identity, veteran status or any other characteristic protected by law.

To ensure a fair and transparent hiring process, we encourage you to review the following resources:

  • Know Your Rights
  • Pay Transparency Act
  • IER Right to Work Document
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