GH
Medical Science Liaison II, Screening
Remote - Open Position (USA) · Mid
Sponsorship not specified$165k-$227kDetected 30 days ago
Patient CareResearchCommunicationCollaborationPublic Speaking
About the role
- The Medical Science Liaison II (MSL II) serves as a scientific expert supporting academic and community physicians, KOLs, and select health system stakeholders.
Responsibilities
- Build and maintain strong, professional relationships with KOLs across academic and community settings.
- Develop, refine, and present scientific content (slides, abstracts, and data summaries) to external audiences.
- Lead presentations at regional meetings, CME events, and scientific forums.
- Support planning and execution of advisory boards and scientific forums.
- Contribute to publication planning and support data dissemination efforts.
- Mentor MSL I peers informally and support onboarding and best practice sharing.
- If you need support, please reach out to Peopleteam@guardanthealth.com
Requirements
- Typically bachelor's with ~8-12 years (or 6-8 with master's / 3-5 with PhD/PharmD/MD) diagnostic or pharma experience required.
- Demonstrated experience in KOL engagement and scientific presentation delivery.
- Employee may be required to lift routine office supplies and use office equipment.
- Ability to sit for extended periods of time.
- A background screening including criminal history is required for this role.
- Typically 2-5+ years of experience in MSL or related medical affairs role.
- Strong analytical, communication, and cross-functional collaboration skills.
- Ability to operate independently and manage territory priorities effectively.
- Willingness to travel up to ~60%
- AI & Digital Fluency
- Demonstrate curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements to improve the efficiency, effectiveness, and quality of work.
- Hybrid Work Model: This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.
- The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or, if applicable, bonus, commission, or equity. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, education, job-related skills, job duties, and business need.Primary Location: Remote - Open Position (USA)Primary Location Base Pay Range: $164,900 - $226,750Other US Location(s) Base Pay Range: $164,900 - $226,750If the role is performed in Colorado, the pay range for this job is: $164,900 - $226,750
- Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment
- however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time.
Compensation
- $164,900 - $226,750Other
- $164,900 - $226,750If the role is performed in
Benefits
- Begin engaging select health system stakeholders (e.g., clinical leaders) to support broader adoption.
- Actively participate in broader Medical Affairs initiatives and contribute to team knowledge sharing.
Equal opportunity
- All your information will be kept confidential according to EEO guidelines.
This listing is sourced directly from GH's careers page and normalized into a canonical job model.