As a field-based medical expert, the MSL supports CSL Behring’s products and therapeutic areas by advancing scientific and collaborative relationships and acting as a conduit for timely knowledge exchange with key members of external healthcare communities and internal stakeholders towards optimized patient outcomes
Job Summary
As a field-based medical expert, the MSL supports CSL Behring’s products and therapeutic areas by advancing scientific and collaborative relationships and acting as a conduit for timely knowledge exchange with key members of external healthcare communities and internal stakeholders towards optimized patient outcomes.
This opportunity with our Immunology team will entail a focus on the planning and implementation of clinical-scientific knowledge exchange regarding PID, CIDP and HAE with allergy, immunology, and neurology clinicians.
CSL Behring is a global biotherapeutics leader driven by our promise to save lives.
Matching Summary
As a field-based medical expert, the MSL supports CSL Behring’s products and therapeutic areas by advancing scientific and collaborative relationships and acting as a conduit for timely knowledge exchange with key members of external healthcare communities and internal stakeholders towards optimized patient outcomes.
Salary
Base: $175K - $205K; Bonus/Equity: incentive compensation and may include equity; Benefits: Not specified
Skills & Requirements
Must-have
knowledge exchange with healthcare communities
disseminate scientific data
develop relationships with KOLs and HCPs
deliver approved educational programs
gather actionable insights
Nice-to-have
advancing scientific relationships
optimized patient outcomes
knowledge-based function
subject matter expertise
Key Requirements
Degree in nursing, pharmacy or advanced degree in science/medicine (MD, PhD, PharmD) preferred
5+ years' relevant pharmaceutical/ biopharmaceutical industry experience
Prior experience providing MSL level support in specific therapeutic areas
Must be able to organize, prioritize, and work effectively in a dynamic, field-based environment