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For Companies At a Glance
- Tasks: Lead statistical programming for real-world data projects and develop interactive applications.
- Company: Dynamic pharmaceutical company focused on innovative healthcare solutions.
- Benefits: Remote work options, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by delivering insights from real-world data.
- Qualifications: Advanced degree in Biostatistics or related field and strong R/SAS programming skills.
- Other info: Join a collaborative team and enhance your career in a fast-paced environment.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking an experienced Senior Principal Statistical Programmer with expertise in Real-World Evidence (RWE), R/SAS programming, and R Shiny development. This role involves leading statistical programming for real-world data (RWD) projects and developing interactive applications to support decision-making, regulatory, and HTA submissions.
Key Responsibilities
- Lead programming and statistical analysis for RWE projects using EMR, claims, and registry data.
- Design, develop, and maintain R Shiny applications for visualization and dissemination of analytical results.
- Ensure high-quality, reproducible outputs aligned with project timelines and regulatory standards.
- Collaborate with cross-functional teams (HEOR, Biostatistics, Data Science, Medical, Market Access) to scope, interpret, and present results.
- Contribute to programming standards, reproducibility frameworks, and code review practices.
Essential Qualifications & Requirements
- Advanced degree in Biostatistics, Statistics, Data Science, or HEOR.
- Proven hands-on experience with real-world data (EMR, claims, registries).
- Strong programming expertise in R and SAS for RWE analyses.
- Proficiency in R Shiny app development for interactive visualization.
- Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
- Availability to commit full-time (5 days/week) for the contract duration.
Preferred Skills
- Experience supporting regulatory, HTA, or pricing submissions.
- Knowledge of OMOP/OHDSI or other common data models.
- Familiarity with reproducible workflows (Git), documentation standards, and code review processes.
- Understanding of data privacy/GDPR compliance in secondary data usage.
- Exposure to cloud-based analytics (AWS, Azure) and deployment of R Shiny applications.
Ideal Candidate Profile
This role is ideal for a principal-level RWE programmer who is comfortable working across complex real-world datasets, can deliver decision-ready insights, and has strong technical expertise in R, SAS, and Shiny. The right candidate will be equally skilled in technical coding, methodological rigor, and effective communication with stakeholders.
Senior Principal Statistical Programmer (RWE) in London employer: Unity Systems
Contact Detail:
Unity Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Statistical Programmer (RWE) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in RWE or statistical programming. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R and SAS projects, especially any R Shiny applications you've developed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to RWE and statistical programming. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Principal Statistical Programmer (RWE) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with RWE, R/SAS programming, and R Shiny development. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Principal Statistical Programmer role. Share specific examples of your work with real-world data and how you've led projects in the past.
Showcase Your Communication Skills: Since this role involves collaborating with various teams, make sure to highlight your communication skills in your application. We love candidates who can engage both technical and non-technical stakeholders effectively!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Unity Systems
✨Know Your RWE Inside Out
Make sure you brush up on your knowledge of Real-World Evidence (RWE) and the specific datasets you'll be working with, like EMR and claims data. Be ready to discuss how you've used these in past projects and how they relate to the role.
✨Show Off Your Programming Skills
Prepare to demonstrate your expertise in R and SAS during the interview. You might be asked to solve a problem or explain your coding process, so have examples ready that showcase your programming prowess and any R Shiny applications you've developed.
✨Communicate Clearly
Since this role involves collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. Think about how you can convey your past experiences in a way that highlights your communication skills.
✨Understand Regulatory Standards
Familiarise yourself with the regulatory and HTA submission processes relevant to RWE. Be prepared to discuss how you ensure compliance and quality in your outputs, as this will show your understanding of the industry's standards.