Overview In this role you drive the global Real World Evidence (RWE) strategy for the Endo-Met portfolio, aligning evidence plans with research and commercial goals. You lead cross-functional execution, shaping partnerships and data sourcing to inform regulatory, payer, and clinical decisions. You'll advance innovative methodologies and publish impactful insights while building RWE capabilities across regions.

This is a chance to influence asset strategy and contribute to transformative healthcare in rare diseases.

Retribuzione / Benefits pension private medical insurance wellbeing programme flexible benefits programme relocation support remote work options Lead the global RWE strategy for the Endo-Met GRD portfolio and ensure integration into regulatory, payer, and clinical decision-making Increase integration of real-world data sources to strengthen evidence-based decision making across development, regulatory, and commercialization phases Develop and maintain the integrated evidence generation plan (IEGP) in collaboration with cross-functional partners Build and scale RWE capabilities, processes, and infrastructure to support global and local evidence generation Identify, evaluate, and execute external RWD partnerships and data acquisition strategies,



including due diligence and governance Provide senior scientific leadership in observational research, epidemiology, and RWE methodologies Champion adoption of AI/ML and advanced analytics in RWE generation Lead cross-functional teams in a matrix environment, managing budgets, timelines, and resources with mentorship of junior staff Advanced degree (PhD, DrPH, MD, PharmD, MSc) in epidemiology, public health, health economics, or related field ~8+ years of experience in RWE, HEOR, epidemiology, or observational research in pharma/biotech or related setting ~ Proven success in leading RWE strategy at asset or portfolio level ~ Strong experience with real-world data sources (claims, EHR, registries, etc.) ~ Experience supporting regulatory and/or market access use of RWE ~ Deep expertise in epidemiology and RWE methodologies ~ Ability to translate evidence into business and clinical impact ~ Experience with advanced analytics, AI/ML, and innovative RWE approaches ~ Ability to shape data strategy and infrastructure decisions ~ Leadership and people management ~ Cross-functional collaboration ~ Stakeholder influence and negotiation ~ Observational research design ~ Epidemiology and RWE methodologies ~ AI/ML and advanced analytics in RWE

📌 Real World Evidence Lead Endo-Metabolic, Global Rare Diseases (Trieste)
🏢 Chiesi
📍 Trieste