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- Tasks: Transform legacy SAS programs into R, develop interactive dashboards, and ensure data compliance.
- Company: Join Phastar, a top-rated global CRO known for quality and innovation in biostatistics and data science.
- Benefits: Enjoy flexible working hours, structured training, and a supportive, fun environment while making a positive impact.
- Why this job: Be part of a mission-driven team that values quality, technical expertise, and environmental sustainability.
- Qualifications: 8+ years of SAS experience, R programming skills, and a strong understanding of clinical trial protocols.
- Other info: This remote role offers opportunities for travel and collaboration across Europe.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Phastar is a multiple award-winning global biometric Contract Research Organization (CRO) that partners with pharmaceutical, biotechnology and medical device organizations to provide expertise in biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the second largest specialized biometrics provider globally, and the largest in the UK.
Why Phastar
Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a supportive, fun and friendly environment. When you join our team, Phastar will plant a tree in your honour as part of our Environmental, Social and Governance (ESG) initiatives.
The Role
We are seeking a clinical programmer with 8+ years of SAS experience who has successfully transitioned to R programming, particularly in developing interactive applications with R Shiny. The ideal candidate will bridge legacy clinical trial systems with modern open-source solutions while maintaining compliance with CDISC standards (SDTM, ADaM) and regulatory requirements. In this role, you will be responsible for clinical programming and data conversion, focusing on modernizing legacy systems.
Key responsibilities include:
- Converting existing SAS programs used for SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs), into R Packages.
- Developing parameterized R Markdown reports and interactive Shiny dashboards to enhance clinical data visualization and reporting.
- Designing and implementing CDISC-compliant data pipelines using both R and SAS, employing PROC SQL and MACROS for efficient data processing.
- Creating bidirectional SAS-R validation frameworks using various packages.
- Maintaining hybrid codebases supporting parallel SAS/R execution for phased migrations.
- Developing Shiny modules replicating SAS Enterprise Guide workflows for stakeholder adoption.
- Executing Pinnacle 21 validation checks on R-generated SDTM datasets.
- Documenting conversion processes using roxygen2 and SAS-to-R crosswalk matrices.
- Training SAS teams in R programming through paired coding sessions.
- Interfacing with Biostatistics to transition SAS PROC MIXED models.
- Supporting regulatory submissions with dual-format (SAS XPT/RDS) datasets.
Qualifications
- Clinical SAS experience (PROC SQL, MACROS, ODS).
- R-Programming & R-shiny portfolio demonstrating SAS-to-R conversions.
- Experience with SDTM/ADaM implementations and TLF generation.
- Deep understanding of clinical trial protocols, MedDRA/WHODrug coding in both languages, and SAS-R data type reconciliation.
- Python coding is a plus.
Apply Now
This is a fantastic time to join an award-winning specialized biometric CRO renowned for its technical expertise, outstanding quality, and cutting-edge data science techniques. We offer flexible working, part-time hours, structured training and development plans, continuous learning opportunities, and a competitive salary and benefits package. We’re committed to ensuring our employees achieve a healthy work-life balance within a supportive, fun, and friendly working environment. Should you feel that you have the right skill set and motivations for this position, please apply!
Phastar is committed to the principles and practices of equal opportunities and to encouraging the establishment of a diverse workforce.
Clinical R Programmer employer: PHASTAR
Contact Detail:
PHASTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical R Programmer
✨Tip Number 1
Familiarise yourself with Phastar's unique approach, 'The Phastar Discipline'. Understanding their commitment to quality and technical expertise will help you align your responses during interviews and discussions.
✨Tip Number 2
Showcase your experience with R Shiny by preparing a small project or demo that highlights your ability to develop interactive applications. This hands-on demonstration can set you apart from other candidates.
✨Tip Number 3
Network with current or former employees of Phastar on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on the latest trends in clinical programming and data management, particularly regarding CDISC standards. Being knowledgeable about industry changes can impress interviewers and demonstrate your commitment to continuous learning.
We think you need these skills to ace Clinical R Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of SAS experience and your transition to R programming. Include specific examples of projects where you've developed interactive applications with R Shiny, as well as any relevant CDISC compliance work.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quality and technical expertise, aligning it with Phastar's values. Mention your experience in converting SAS programs to R and how you can contribute to modernising legacy systems.
Showcase Your Portfolio: If you have a portfolio demonstrating your SAS-to-R conversions, TLF generation, or R Markdown reports, make sure to include this in your application. This will provide tangible evidence of your skills and experience.
Highlight Relevant Skills: Emphasise your understanding of clinical trial protocols, MedDRA/WHODrug coding, and your ability to implement CDISC-compliant data pipelines. Mention any experience with Python coding as an added bonus.
How to prepare for a job interview at PHASTAR
✨Showcase Your Technical Skills
Make sure to highlight your experience with SAS and R programming during the interview. Be prepared to discuss specific projects where you've successfully transitioned from SAS to R, especially in developing interactive applications with R Shiny.
✨Understand CDISC Standards
Familiarise yourself with CDISC standards such as SDTM and ADaM. Be ready to explain how you have implemented these standards in your previous roles, as this knowledge is crucial for the position.
✨Prepare for Practical Assessments
You may be asked to demonstrate your coding skills or solve a problem on the spot. Brush up on your R and SAS skills, and practice converting datasets or creating visualisations to showcase your abilities.
✨Emphasise Team Collaboration
Phastar values teamwork and collaboration. Be prepared to discuss how you've worked with biostatistics teams or trained others in R programming. Highlight any experiences that demonstrate your ability to work well in a team environment.
