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- Tasks: Develop and maintain SAS and R programs for clinical trial data analysis.
- Company: Join a leading team in early-phase clinical programming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and quality.
- Why this job: Make a real impact on clinical trials with cutting-edge programming skills.
- Qualifications: 8+ years in Clinical SAS and 3+ years in R programming required.
The predicted salary is between 60000 - 80000 £ per year.
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
- 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
- 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
Clinical SAS Programmer (SAS/R) employer: princeps technologies
Contact Detail:
princeps technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical SAS Programmer (SAS/R)
✨Tip Number 1
Network like a pro! Reach out to your connections in the clinical programming field, especially those who work with SAS and R. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SAS and R projects, especially any interactive applications you've built with R Shiny. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of CDISC standards and Pinnacle 21 validation processes. Be ready to discuss how you've applied these in your previous roles, as this will show you're the right fit for the job.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a chance to showcase your enthusiasm for joining our Early Phase SAS Programming team.
We think you need these skills to ace Clinical SAS Programmer (SAS/R)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of SAS experience and 3+ years in R. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Early Phase SAS Programming team. Share specific examples of your work with CDISC standards and TFL generation to grab our attention.
Show Off Your R Shiny Skills: Since we’re looking for someone with strong R Shiny application development experience, make sure to mention any interactive applications you’ve built. If you have links to demos or projects, include them – we love seeing your work in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at princeps technologies
✨Know Your SAS and R Inside Out
Make sure you brush up on your SAS and R skills before the interview. Be ready to discuss specific projects where you've developed, validated, or maintained programs. Highlight any experience with R Shiny applications, as this will show your versatility and depth in programming.
✨Familiarise Yourself with CDISC Standards
Since the role requires knowledge of CDISC standards like SDTM and ADaM, it’s crucial to understand these concepts thoroughly. Prepare to explain how you've applied these standards in your previous work, and be ready to discuss any challenges you faced and how you overcame them.
✨Showcase Your Data Visualisation Skills
Data visualisation is key in this role, so come prepared with examples of how you've used R Shiny or other tools to create interactive applications. If possible, bring along a portfolio or screenshots of your work to demonstrate your capabilities.
✨Communicate Clearly and Confidently
Excellent communication skills are essential, especially when working with biostatisticians and cross-functional teams. Practice explaining complex technical concepts in simple terms, and be ready to discuss how you ensure reproducibility and quality control in your work.