Job Title: Clinical SAS Programmer (SAS/R)
Experience: 8+ Years (SAS) | 3+ Years (R)
Location: UK/USA
Job Overview
We are seeking an experienced Clinical SAS Programmer with strong R expertise to join our growing Early Phase SAS Programming team. In this role, you will be responsible for developing, validating, and maintaining SAS and R programs to support clinical trial reporting, data analysis, and visualization.
You will work closely with biostatisticians and cross-functional teams to deliver high-quality outputs that enhance the efficiency, quality, and success of early-phase clinical trials. This role reports to the Early Phase Programming Lead and requires the ability to work independently with minimal supervision.
Key Responsibilities
- Develop, validate, and maintain SAS and R programs for clinical trial data analysis
- Design and build interactive applications using R Shiny
- Convert and optimize programs between SAS and R environments
- Generate Tables, Listings, and Figures (TFLs) for early-phase clinical studies
- Perform oversight and quality control (QC) of vendor deliverables and datasets
- Apply CDISC standards (SDTM, ADaM) in programming and data handling
- Generate and review Pinnacle 21 validation reports and data packages
- Utilize data visualization techniques (R Shiny) to support data-driven decision-making
- Ensure reproducibility by organizing code, data, and outputs into structured repositories
- Prepare and maintain technical and process documentation
Required Qualifications
- 8+ years of experience in Clinical SAS Programming
- 3+ years of hands-on experience in R programming
- Strong experience in R Shiny application development
- In-depth knowledge of CDISC standards (SDTM, ADaM)
- Experience with Pinnacle 21 validation processes
- Proven experience in generating TFLs for clinical trials
- Strong understanding of clinical trial data and regulatory requirements
- Excellent written and verbal communication skills
Preferred Skills
- Experience in early-phase (Phase I/II) clinical studies
- Exposure to data visualization and reporting automation
- Ability to work in a collaborative, fast-paced environment with minimal supervision
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