Medical Science Liaison, Rare Diseases
Pubblicato il 04-10-2026 - Biogen Idec in Italia
Overview
In this Medical Science Liaison role, you will serve as the scientific bridge between Biogen and external healthcare professionals in the designated Italian regions. You will share up-to-date medical knowledge, gather insights, and support research activities to inform Medical Affairs planning. You will work cross-functionally to ensure compliant medical execution and impactful scientific exchange. This is a mission-driven opportunity to impact patient outcomes through field-based scientific leadership.
Retribuzione / Benefits
- annual gross salary with performance-based premio
- insurance (accident, life and disability)
- supplementary health insurance
- welfare benefits
- company car
- CCNL coverage for chemical/pharmaceutical industries
Responsabilità
- Engage in high-quality scientific/medical exchange with HCPs and stakeholders in line with local requirements and Biogen policies
- Support reactive discussions within product labels and broader disease-area dialogue, including literature exchange
- Gather and share medical insights to inform Medical Affairs activities, lifecycle management and data-generation opportunities
- Maintain up-to-date knowledge of therapy advances, Biogen products and disease areas for accurate discussions
- Collaborate with internal functions (Medical, Value & Access, Pharmacovigilance, Regulatory Affairs, Marketing, Care Managers) for aligned execution
- Provide medical/scientific support to HCPs presenting data on Biogen areas ensuring compliant presentations
Requisiti fondamentali
- BSc in a relevant scientific discipline required
- 2+ years' experience in high-specialty therapeutic areas (rare diseases, neurology, immunology/dermatology, hematology) in Medical Affairs or industry/clinical practice
- Ability to communicate complex medical information effectively
- Understanding of health economics and pharmaceutical environment desirable
- Technical knowledge to interpret and discuss complex data clearly
- Willingness to t