Real-World Evidence (RWE) Analyst / Engineer

• 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

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) 

• 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 generation 
• Entrepreneurial 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