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
Employment type
Job function
Industries
- Pharmaceutical Manufacturing
- Biotechnology Research
- Hospitals and Health Care
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