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For Companies At a Glance
- Tasks: Lead statistical programming for real-world data projects and develop interactive applications.
- Company: Join a leading 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 with strong R/SAS programming skills.
- Other info: Collaborative environment with a focus on cutting-edge data analysis.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Senior Principal Statistical Programmer (RWE) – 12-Month Freelance Contract
Location: Munich, Bavaria, Germany (100% remote within EU/UK possible)
Contract Duration: 12 months (full-time, 40h/week)
Start Date: ASAP (target September 2025)
Role Overview
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.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- Pharmaceutical Manufacturing
- Biotechnology Research
- Hospitals and Health Care
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Senior Principal Statistical Programmer (RWE) 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)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even online forums related to RWE and statistical programming. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your R and SAS projects, especially any R Shiny applications you've developed. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for interviews by brushing up on common questions related to RWE and statistical programming. Be ready to discuss your past projects and how you’ve collaborated with cross-functional teams. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Principal Statistical Programmer (RWE)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with RWE and programming in R/SAS. 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 role. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your expertise in R Shiny development and any experience with cloud-based analytics. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 don’t miss out on any important updates from our team!
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 with Everyone
Since this role involves collaborating with various teams, practice explaining complex statistical concepts in simple terms. Think about how you can engage both technical and non-technical stakeholders effectively, as this will be key to your success.
✨Be Ready for Regulatory Discussions
Familiarise yourself with the regulatory landscape related to RWE, HTA submissions, and data privacy. Be prepared to discuss your experience with compliance and how you've navigated these challenges in previous roles.
