- Deneyim
- 3–8 yrs
- Maaş
- USD 115,000 – USD 149,000 / year
- Açılışlar
- 1
- Yayınlandı
- 2 saat önce
- Work mode
- Evden çalışma
- Eğitim
- Bachelor's degree
- Eligibility
- Applicants with the required education and experience in clinical education, cardiology, electrophysiology, primary care, or medical affairs may apply. An active RN license or an advanced clinical degree is strongly preferred, and candidates must be able to work remotely from within the United Stat…
- Resume
- Required to apply
İş tanımı
Role overview
This remote U.S.-based role is centered on improving the early, evidence-led recognition of cardiac arrhythmias in primary care. As a clinical expert, you will help primary care providers identify diagnostic gaps sooner, strengthen patient outcomes, and support more accurate detection of cardiac conditions. The position blends scientific communication, clinical education, and field engagement to turn evolving evidence into practical workflows and tools. You will also help providers make better use of ambulatory cardiac monitoring and contribute to more efficient, upstream diagnostic pathways.
Key responsibilities
- Lead evidence-based, non-promotional education sessions for primary care clinicians on arrhythmias and related diagnostic pathways.
- Convert current scientific evidence into clear, usable clinical guidance for primary care decision-making.
- Develop trusted advisory relationships with primary care providers and act as a clinical partner on disease-state education.
- Explain arrhythmia risk factors, associated comorbidities, and the complications caused by overlapping symptoms and delayed diagnosis.
- Guide providers on choosing the right ambulatory cardiac monitoring approach, including Holter monitoring and longer-term continuous monitoring, based on guidelines and patient needs.
- Encourage the use of risk-based tools and workflows that improve diagnostic accuracy and patient identification.
- Emphasize the burden created by late diagnosis and support earlier outpatient diagnostic intervention.
- Partner with Medical Affairs, Clinical Research, Market Access, and Commercial teams to keep messaging consistent.
- Share field observations that can inform research, publications, and education strategy.
- Help build scalable education models that increase provider engagement and clinical impact.
Experience and qualifications
- A bachelor’s degree plus at least 8 years of relevant experience, or a master’s degree plus at least 6 years, or a PhD plus at least 3 years, or equivalent hands-on clinical experience.
- Active RN licensure or an advanced clinical degree such as MSN or DNP is strongly preferred.
- At least 7 years of experience in cardiology, electrophysiology, or primary care is strongly preferred.
- At least 3 years in clinical education, provider engagement, medical affairs, or a comparable role.
- Solid knowledge of cardiac arrhythmias, diagnostic workflows, and ambulatory monitoring technologies.
- Proven experience educating or advising primary care providers in a clinical setting.
- Ability to interpret complex clinical evidence and present it in a practical, understandable way.
- Strong relationship-building skills and the credibility needed to earn trust with healthcare professionals.
- Excellent presentation, communication, and stakeholder management abilities.
- Comfort working independently in a remote, field-based environment while coordinating across functions.
Compensation and benefits
The role offers an estimated annual salary of USD 115,000 to USD 149,000, along with remote flexibility anywhere in the United States. Additional benefits include comprehensive healthcare coverage, wellness support, the chance to work across clinical science and digital health, a collaborative mission-oriented culture, professional growth opportunities, and an inclusive environment that values different perspectives and experiences.
Application and hiring process
This opportunity is posted on behalf of a partner organization that handles applications and the next steps directly. Applications are reviewed through an AI-assisted matching process, after which the strongest candidates are shared with the hiring company. Final decisions, including interviews and assessments, are made by the employer’s internal team. Personal data submitted will be processed to evaluate candidacy and may be shared with the hiring employer, with rights available for access, correction, deletion, and objection under applicable data protection laws. AI may also be used to support parts of the recruitment workflow, but human judgment remains central to final hiring decisions.