At a Glance
- 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 working 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) in Aberdeen employer: princeps technologies
Join a leading organisation that values innovation and collaboration in the field of clinical research. As a Clinical SAS Programmer, you will benefit from a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies. Located in the UK/USA, our team is dedicated to delivering high-quality outputs while fostering a dynamic environment where your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical SAS Programmer (SAS/R) in Aberdeen
✨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 clinical trial 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 genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Clinical SAS Programmer (SAS/R) in Aberdeen
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 your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about clinical trials and how your expertise in SAS and R can contribute to our Early Phase Programming team. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention your experience with CDISC standards and Pinnacle 21 validation processes. We love seeing specific examples of how you've used these in your previous roles, so get into the details!
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!
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.
✨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, as this will demonstrate your expertise in clinical trial data handling.
✨Prepare for Technical Questions
Expect technical questions that test your programming skills and problem-solving abilities. Practice coding challenges related to SAS and R, and be ready to walk through your thought process. This will help you showcase your analytical skills and ability to work independently.
✨Showcase Your Communication Skills
As you'll be working closely with biostatisticians and cross-functional teams, effective communication is key. Prepare examples of how you've collaborated in the past, and be ready to discuss how you ensure clarity and understanding when presenting complex data findings.
