Senior Real World Evidence Expert (Germany)

In this role you shape global RWE programs to inform development, regulatory, payer, and clinical decisions. You collaborate with cross‑functional teams to identify evidence gaps and advance innovative data approaches. You’ll lead complex studies, develop protocols and plans, and contribute to scientific communications. This position offers impact across the product lifecycle, with a patient‑centred mission and opportunities to deploy emerging analytics and AI‑enabled methods.

• hybrid-first work model
• global company with diverse locations
• equal opportunity employer
• local hubs
• collaborative culture
• opportunities for growth

• Lead design, execution, and delivery of complex global RWE studies on time and within budget
• Develop study concepts, protocols, statistical analysis plans, and study documentation
• Drive epidemiology, natural history, disease burden, comparative effectiveness, safety, and post-launch evidence initiatives
• Lead secondary data studies and represent RWE in primary data collection study teams
• Collaborate with external vendors, academic researchers, and medical experts for high-quality study execution
• Interpret and communicate study findings to internal and external stakeholders
• Support development and execution of asset-level RWE strategies and evidence plans
• Identify and implement innovative study designs, advanced analytics methodologies, and new real-world data sources
• Contribute to scientific publications, abstracts, posters, presentations, and external communications
• Act as a trusted SME, providing strategic guidance and championing robust methodologies

• Master’s degree, PhD, MD, or equivalent qualification in epidemiology, outcomes research, health economics, biostatistics, life sciences, or a related discipline
• Significant experience designing and delivering real‑world evidence studies using primary and/or secondary data sources
• Strong expertise in epidemiology, pharmacoepidemiology, outcomes research, health economics, biostatistics, data science, or related quantitative disciplines
• Experience working within pharmaceutical, biotechnology, consulting, or academic research environments
• Excellent communication skills with the ability to translate complex evidence into clear and actionable insights
• Passion for innovation, scientific excellence, and the use of emerging technologies, including AI‑enabled approaches in RWE

• excellent communication
• collaboration
• strategic thinking
• epidemiology
• pharmacoepidemiology
• outcomes research