Application Specialist

Established Search

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

A leading technology recruitment firm is seeking an experienced MRI Application Specialist to bridge clinical imaging and AI technology. This role requires at least 8 years of clinical MRI experience, specifically in cardiac MRI. The candidate will provide technical expertise, support, and collaboration across clinical environments, ensuring optimal integration of AI solutions into workflows. The position offers dynamic work in a fast-paced environment with potential travel requirements.

Qualifications

  • 8+ years of clinical MRI experience with a focus on cardiac MRI.
  • Proficient with Siemens and GE Healthcare MRI systems.
  • Strong understanding of cardiac anatomy and MRI protocols.
  • Strong interpersonal and communication skills, interface with technical and clinical teams.
  • Willingness to travel up to 50% for customer support and collaboration.

Responsibilities

  • Be the clinical expert for cardiac MRI applications.
  • Provide support for installations and training.
  • Collaborate with R&D to refine AI algorithms.
  • Translate complex imaging protocols and clinical needs into actionable feedback for engineering teams.
  • Conduct workflow analysis and recommend best practices for AI integration in cardiac MRI environments.
  • Support clinical trials and validation studies by assisting with image acquisition, protocol optimization, and data quality assurance.
  • Build strong relationships with radiologists, cardiologists, and technologists.
  • Stay up to date on advances in MRI techniques, AI in medical imaging, and regulatory guidelines.

Skills

Cardiac MRI
Interpersonal skills
Communication skills
MRI physics understanding
Clinical imaging
Communication

Education

Bachelor's degree in Radiologic Technology or Biomedical Engineering

Tools

Siemens MRI systems
GE Healthcare MRI systems

Job description

Principal Global Recruiter within Medical Imaging and AI

We are looking for a highly skilled and motivated MRI Application Specialist with a strong background in Cardiac MRI and hands‑on experience with Siemens and GE Healthcare MRI systems. In this role, you’ll bridge the gap between clinical imaging and AI technology supporting our customers, collaborating with product teams, and ensuring optimal integration of our AI solutions into clinical workflows.

Key Responsibilities
  • Serve as the clinical and technical expert for cardiac MRI applications across Siemens and GE platforms.
  • Provide on‑site and remote support for product demonstrations, installations, training, and post‑sales follow‑up.
  • Collaborate closely with R&D and Product teams to refine AI algorithms based on clinical feedback and user experience.
  • Translate complex imaging protocols and clinical needs into actionable feedback for our engineering and development teams.
  • Conduct workflow analysis and recommend best practices for AI integration in cardiac MRI environments.
  • Support clinical trials and validation studies by assisting with image acquisition, protocol optimization, and data quality assurance.
  • Build strong relationships with key clinical stakeholders including radiologists, cardiologists, and technologists.
  • Stay up to date on advances in MRI techniques, AI in medical imaging, and regulatory guidelines.
Required Qualifications
  • Bachelor’s degree or higher in Radiologic Technology, Biomedical Engineering, or a related field.
  • Minimum of 8 years of clinical MRI experience, with a strong focus on cardiac MRI.
  • Proficiency in both Siemens and GE Healthcare MRI systems.
  • In‑depth understanding of MRI physics, protocols, and cardiac anatomy/pathology.
  • Strong interpersonal and communication skills, with the ability to interface confidently with both technical and clinical teams.
  • Comfortable in a dynamic, fast‑paced, and collaborative environment.
Preferred Qualifications
  • Prior experience in applications support, product training, or clinical workflow consulting.
  • Familiarity with AI applications in medical imaging.
  • Experience working in or with startup environments or health‑tech companies.
  • Willingness to travel (up to 50%) for customer support and collaboration with partners.
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