Overview As a Medical Science Liaison, you will drive scientific exchange with KOLs, healthcare providers, and investigators in immunology/dermatology within your U.S. region. You will extend the Medical Affairs field presence, generate actionable field insights, and support regional priorities. Early in your tenure you'll build credibility and translate data into clinical context for diverse audiences. This role offers visibility, ownership of territory, and a clear path to broader impact within a mission-driven organization.
Compensation / Benefits- Base salary
- Annual discretionary bonus
- Long-term incentive
- 401(k) with employer contribution
- Health care and other insurance benefits
- Paid holidays, vacation, and sick days
Responsibilities- Engage in Medical-to-Medical scientific discussions with stakeholders about disease awareness, data, and treatment considerations
- Gather, synthesize, and share field insights; identify trends that influence treatment decisions
- Plan and execute territory field activities; manage priorities and time effectively
- Interpret clinical data and discuss findings with external stakeholders
- Support investigator engagement and site discussions; participate in trial awareness
- Provide scientific support for congresses, advisory boards, and other external engagements
- Collaborate with internal MAEG partners (HEOR, PRO) to align field insights with internal needs
- Engage broader stakeholders and adapt communication across audiences
Key requirements- Strong communication and relationship-building skills
- Ability to learn and convey complex scientific information
- Independent work capability with sound judgment
- Excellent organization, prioritization, and execution
- Foundational understanding of clinical trial design and data interpretation
- Ability to synthesize information and communicate insights
- Adaptability in a dynamic, fast-paced environment
- Willingness to travel 70%, including weekends
- Strong communication
- Listening and relationship-building
- Adaptability
- Scientific data interpretation
- Clinical trial basics and data translation
- Effective scientific exchange with KOLs and clinicians
