WearLinq
Cardiac/Telemetry Technician - Nights and Weekend Shifts
Rockville, MD
Sponsorship not specifiedDetected 23 hours ago
FDA RegulatoryCommunication
About the role
- The ideal candidates will play a crucial role in monitoring patients' ECGs, interacting with patients and families and reporting routine and STAT results.
- Continuous accurate and prompt ECG recognition, correlation with patient symptoms and reporting.
- Will consider individuals with expert rhythm assessment skills with continued employment after 120 days based on certification as CCT, CRAT, EMTi, paramedic or nurse.
Responsibilities
- We sit at the intersection of clinical cardiology, hardware, software, and data, building products that turn complex cardiac signals into clear, actionable insights.
Requirements
- Impeccable attention to detail Ability to work effectively in a fast-paced environment Excellent communication skills and attention to detail.
Nice to have
- Articulate in conversation with patients and clinicians Thorough follow-through with patients Qualifications: Previous experience as a Telemetry Technician or in a similar role preferred.
- Previous experience as a Telemetry Technician or in a similar role preferred.
Compensation
- This is an hourly role starting at $22 per hour and up, DOE.
- We pay hourly shift differentials for nights and/or weekend shifts.
Benefits
- 401(k) Dental insurance Health insurance Vision insurance Life insurance Paid time off Retirement plan Tuition reimbursement Vision insurance
- Wearlinq is reimagining ambulatory cardiac monitoring with the first FDA-cleared, real-time, six-lead EKG designed to be easier for patients, clinicians, and health systems alike.
Company info
- We are hiring dedicated and skilled, certified Cardiac Telemetry Technicians to join our growing team in our Rockville, Maryland office, or working remotely across the US.
- We are seeking team members that can work all or partial schedules with nights and/or weekend shifts.
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This listing is sourced directly from WearLinq's careers page and normalized into a canonical job model.