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
nanda.k@telradsol.com
,
Bangalore based candidates are preferred who can join immediate
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.