Real-World Evidence (RWE) Analyst / Engineer

Rewoso AG; Zürich; Remote; CHF 120,000 - 150,000; Full time

Job summary

Rewoso AG in Switzerland seeks a motivated RWE Data Scientist to join our growing team. You will work on real-world evidence projects in Europe, translating complex data into actionable insights for clinical and regulatory decision-making.

You will build data pipelines, conduct statistical analyses, and collaborate with physicians, medical registries, and pharmaceutical partners to drive high-impact outcomes across multiple disease areas.

Qualifications

• Master’s degree in a technical or quantitative field.
• Strong programming skills in R or Python.
• Solid understanding of data analysis and statistics.
• Fluency in English and German.
• Proficiency with Microsoft Office.

Responsibilities

• Build and maintain data pipelines and support data engineering tasks.
• Conduct statistical analyses on real-world healthcare data.
• Interpret results and generate actionable insights.
• Support or lead the development of Statistical Analysis Plans (SAPs).
• Collaborate closely with physicians, clinical experts, and medical registries.
• Work with cross-functional teams across multiple projects.

Skills

Data analysis & statistics

Programming (R/Python)

English & German fluency

Education

Master's degree in a technical or quantitative field

Tools

R

Python

Excel

PowerPoint

Word

Job description

Your mission

We are looking for a motivated and versatile RWE Data Scientist to join our growing team. This role combines technical data work with analytical thinking and exposure to high-impact projects in the pharmaceutical industry.

You will work across a variety of projects, disease areas, and data sources, contributing to the generation and interpretation of real-world evidence in Europe and beyond. You will collaborate closely with physicians, medical registries, and leading pharmaceutical companies to translate complex data into actionable insights that inform clinical and regulatory decision-making.

Your responsibilities:

• Build and maintain data pipelines and support data engineering tasks
• Conduct statistical analyses on real-world healthcare data
• Contribute or lead to the interpretation of results and generation of insights
• Support or lead the development of Statistical Analysis Plans (SAPs)
• Collaborate closely with physicians, clinical experts, and medical registries (e.g., in neurology, rheumatology, gastroenterology, dermatology)
• Work with cross-functional teams across multiple projects

Your profile

Required

• Master’s degree in a technical or quantitative field (e.g., data science, pharmaco-epidemiology, statistics, engineering, computer science)
• Strong programming/engineering skills (R preferred; general purpose programming language such as Python acceptable)
• Solid understanding of data analysis and statistics
• Fluency in English and German
• Proficiency in Microsoft Office (Excel, PowerPoint, Word)
• High level of flexibility and a service-oriented mindset

Nice to Have

• PhD and/or relevant work experience
• Research expertise
• Experience in the pharmaceutical industry, ideally in a regulatory context
• Knowledge of advanced statistical modeling (e.g., causal inference methods)

Why us?

• Unique data access: Work with exclusive real-world datasets and medical registries across Europe
• Science meets consulting: Operate at the intersection of rigorous analytics and strategic thinking, combining a scientific mindset with a client-oriented, consulting approach
• High-impact projects: Collaborate with leading global pharmaceutical companies on strategically relevant evidence generationEntrepreneurial culture: Flat hierarchies, fast decision-making, and direct exposure to clients and senior experts
• Flexibility: Remote-friendly setup with a high degree of autonomy and trust
• Innovation-driven environment: Leverage real-world evidence to help shape and develop next-generation digital health solutions