- Educational background - B. Pharma /M. Pharma. Experience in medical imaging analysis and annotation in DICOME format. Candidate understands Human anatomy and can identify and annotate. Working experience in medical wave-based imaging like ECG, EEG etc. Candidate has experience in CT, MRI, ultrasound, X-Ray, angiogram annotation.

Experience in surgical video frame annotation experience. Tool experience in ITK- Snap, 3D Slicer, C-Vat or any other annotation tool experience. Cross-Functional Collaboration: Partner with engineering, product management, and quality teams to assess project progress and ensure alignment with medical image annotation needs, quality goals, and standards. Implement and evaluate frameworks to ensure reliability, scalability, and maintainability across the AI/ML model development lifecycle.

Leveraging Reusable Solutions: Promote the reuse of software components and frameworks across teams, enhancing efficiency and consistency while reducing development time.

Continuous Improvement: Analyze performance data to identify areas for improvement, leading initiatives to enhance data annotation quality, safety, and user experience.



Implement process improvements through regular assessments and industry benchmarking.

Stakeholder Communication: Regularly update stakeholders on progress, annotation jobs, and quality, providing strategic recommendations for process improvements and alignment with business objectives. 5+ years of experience in Clinical Data/Image Annotation.

Required Skills: Biomedical Signal Interpretation: Ability to review waveform visualizations and identify signal patterns. Comfortable working with time-series physiological data rather than traditional medical images.Annotation Guideline Adherence.

Quality

Review & Validation. Ability to document uncertainty and edge cases.Experience participating in adjudication and quality review processes.

Tool Proficiency: Comfortable using custom annotation and visualization tools. Ability to navigate software applications and accurately record classifications.

Preferred Background: Neurophysiology, Neuroscience, or Biomedical Engineering High. Signal processing or electrophysiology data review Medium. Medical device data annotation Medium. Nice to Have ECG, EEG, EMG, or EP waveform interpretation experience

📌 Lead Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad