Cardiovascular Medical Science Liaison — Data‑Driven MSL

Syneos Health Careers; New York (NY); On-site; USD 170,000 - 183,000; Full time

Job summary

Syneos Health is seeking a Medical Science Liaison to engage with Key Contacts, provide balanced scientific information, and support medical affairs in advancing patient care. You will act as a scientific resource across cardiovascular and related therapeutics, delivering data-driven insights and education while aligning with regulatory standards.

The role emphasizes collaboration with internal teams and external health care stakeholders, translating complex data into practical clinical

Qualifications

• Advanced scientific degree required; PhD/MD/ PharmD/NP/PA preferred.
• 2+ years of MSL experience preferred.
• Experience in cardiovascular or other specialty areas; ability to quickly develop disease-state and clinical expertise.

Responsibilities

• Provide scientific information to Key Contacts in a compliant manner.
• Serve as medical and scientific expert to internal and external stakeholders.
• Cultivate and maintain scientific relationships with stakeholders and understand clinical practice related to areas of interest for our client.
• Translate scientific data into real-world practice to meet customer needs and adapt communication style.
• Contribute to customer-centric engagement plans to support Medical Affairs strategies.
• Maintain knowledge base through ongoing learning and literature awareness.
• Collaborate with field-based Medical and Commercial colleagues to share insights.

Education

Advanced scientific degree

Job description

Syneos Health is seeking a Medical Science Liaison to engage with Key Contacts, provide balanced scientific information, and support medical affairs in advancing patient care. You will act as a scientific resource across cardiovascular and related therapeutics, delivering data-driven insights and education while aligning with regulatory standards.

The role emphasizes collaboration with internal teams and external health care stakeholders, translating complex data into practical clinical