Senior Principal Statistical Programmer (RWE)

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