Advanced Case Technologist Mentor
Location
United States
Posted
8 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
Under supervision of the Manager of Advanced Clinical Training, Mentor conducts and communicates performance updates and assists with supplemental guidance and instruction. Duties are not limited to the responsibilities listed below and are subject to change for development and refinement of the Advanced Clinical Training (ACT) Program. This role is a secondary role and does not replace or substitute primary tech duties.
Responsibilities
- Develop, train, and positively encourage IOM Technologists as they advance their skills in IOM.
- Facilitate teaching of medical knowledge, IOM theory, and physical skills under the guidance of the ACT Manager.
- Provide IOM Technologists the resources they need to become highly trained Advanced IOM Technologists.
- Develop relationships with techs and clinical leaders to facilitate open communication and progress transparency.
- Partner with Territory Managers and ACT Manager to develop strategic goals and expand Advanced Clinical Training initiatives.
- Contribute to the Program by aiding in the development of MPOWERHealth University content, beneficial education strategies, and educational event logistics when applicable.
- Case coverage will be top priority dependent on territory and staffing needs.
- Travel for case training and coverage will be an essential function of this role.
- Focus on developing strong, productive relationships with physicians, Hospital staff, and administration.
- Engage with surgeons and staff to obtain feedback on progress of IOM Technologist.
- Note improvements on workflow with the hospital work environment to ensure patient care remains at a high quality.
Qualifications
- CNIM required.
- Required modality experience includes ABR and EEG. Experience of cranial nerve 5, 7, and 12 EMG monitoring is preferred.
- Previous experience training individuals, either MCA or advanced cases, is preferred.
- Minimum of 2 years IONM experience is required, MPOWERHealth tenure preferred.
- Minimum of bachelor’s degree or higher (i.e. Masters, PHD, MD).
- Must have current AHA CPR certification.
- Must hold a valid driver’s license.
Job Requirements
- CNIM required.
- Required modality experience includes ABR and EEG. Experience of cranial nerve 5, 7, and 12 EMG monitoring is preferred.
- Previous experience training individuals, either MCA or advanced cases, is preferred.
- Minimum of 2 years IONM experience is required, MPOWERHealth tenure preferred.
- Minimum of bachelor’s degree or higher (i.e. Masters, PHD, MD).
- Must have current AHA CPR certification.
- Must hold a valid driver’s license.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Machine Learning Engineer
StordThe Consumer Experience Company | Fulfillment, Last-Mile Delivery, & Technology
ML Engineer designing logistics models for Stord's cloud-based platform
Lead Vulnerability Engineer-Qualys
TEKsystemsWe're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
This role serves as a senior technical lead driving vulnerability remediation, security modernization, and technical execution across the enterprise, coordinating efforts across infrastructure, applications, cloud, and SaaS environments. The lead will partner with stakeholders to define remediation plans, ensure SLA adherence, build progress tracking dashboards, and identify operational weaknesses for long-term hardening initiatives.
ML Ops Engineer supporting machine learning models for autonomous edge platforms
The role involves owning the end-to-end delivery of Machine Learning features, including designing, training, deploying, and monitoring models for logistics use cases like delivery time estimation and demand forecasting. Responsibilities also include building real-time and batch feature pipelines and developing CI/CD pipelines for model deployment on GCP Vertex AI.