Senior Principal Statistical Programmer (RWE)

Unity Systems; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading pharmaceutical company is seeking a Senior Principal Statistical Programmer to lead RWE projects and develop R Shiny applications. This full-time remote role requires expertise in R and SAS, with a focus on delivering decision-ready insights. Ideal candidates will possess strong communication skills and a deep understanding of real-world data. Join a multidisciplinary team to drive impactful analyses and enhance health outcomes.

Qualifications

• Advanced degree in relevant field required.
• Proven experience with real-world data is essential.
• Strong programming expertise in R and SAS required.
• Experience developing R Shiny applications necessary.
• Excellent communication skills required.

Responsibilities

• Lead programming and statistical analysis for RWE projects.
• Design and maintain R Shiny applications for visualization.
• Ensure high-quality outputs aligned with standards.
• Collaborate with cross-functional teams for results interpretation.
• Contribute to programming standards and code reviews.

Skills

R programming

SAS programming

R Shiny development

Real-World Evidence (RWE)

Excellent communication

Education

Advanced degree in Biostatistics, Statistics, Data Science, or HEOR

Tools

Git

AWS

Azure

Job description

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