Executive Clinical Training

Job Description: Executive Clinical Training

1) Training Content Development

• Creating tech training content aligned to QA requirements, including PPT creation for each missed finding with key learning points captured from the sessions.
  

• Developing topic-specific PPTs based on recurring QA findings and identified learning gaps.
  

• Creating quizzes and key learning points using transcriptions from recorded sessions.
  

• Saving and compiling interesting cases and follow-up/surgical outcome cases for training, research, and conference use.
  

• Developing general training modules (e.g., anatomy, pathology, basics).
  

2) Monthly Training Program Management (Tech Training Group)

• Maintaining and updating PPTs based on posts from the ABR, Technologists, and Radiologists groups by collecting shared cases and organizing them entity-wise for structured reference and training use.
  

• Compiling and publishing month-wise PPTs from group learning content.
  

3) ABR Recordings

• Segregating ABR recorded sessions into body region– and category-wise modules to enable easy reference and structured sharing as ABR training material.
  

4) Case Curation for Training, Research, and Conferences

• Collecting and maintaining interesting cases marked by Dr. Arjun Kalyanpur (Radspa).
  

• Saving and curating cases for training, research, and conference use.
  

• Supporting radiologists in conference preparation:
  

• Case selection and validation
  

• Quality checks (images/fonts/orientation, etc.)
  

• Cine preparation and formatting support
  

5) Training Content Repository & Moodle Management

• Maintaining a structured Training PPT database (tech training content).
  

• Uploading and organizing training content in Moodle, entity-wise and category-wise, for ease of access.
  

6) Training Delivery & QA Support

• Supporting delivery of tech trainings.
  

• Assisting the QA team with trainings focused on:
  

• Tech misses
  

• Radiologist misses
  

• QA-based learning priorities
  

7) Testing (Peer Review / PIP / Onboarding)

• Conducting Performance Improvement Plan (PIP) testing.
  

• Supporting new joiner orientation (workflow and QA expectations).
  

• Testing peer-reviewing techs using case examples.
  

8) Communication & 1:1 Support

• Driving direct communication with techs through 1:1 connects to address QA-related queries, gaps, and action items.
  

• Acting as a bridge between QA requirements and training implementation.
  

9) COTW (Case of the Week)

• Maintaining the Case of the Week (COTW) cases and uploading them to the website after approval from Dr. Arjun Kalyanpur (currently paused).
  

• Reusing COTW cases for quizzes in conferences and academic sessions.
  

10) AI Support (Case Sharing, Validation, QA Case Exports)

• Assisting AI engineers by sharing cases for training their learning modules / AI assists.
  

• Supporting AI validation activities.
  

• Sharing QA cases weekly by saving, exporting, and anonymizing cases, and then providing them to the AI team for testing and training AI modules.
  

Interested can send CV to , Bangalore based candidates are preferred who can join immediate