Associate Clinical Data Specialist

- 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.
- Oversee the integration and execution of annotation workflows, and improving processes to enhance efficiency and system reliability.
- Develop, Optimizing Tools & Processes: Lead the evaluation and optimization of annotation tools and development processes, ensuring teams use the most effective solutions for code analysis, automation, and collaboration.
- Regulatory Compliance & Patient Safety: Ensure annotation output meets regulatory requirements and patient safety standards and Quality Improvement Plans.
- 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.

Must Have

Minimum Qualification

- B-Tech/BE in Computer Science, Electronics, or related field with 5+ years of experience in Clinical Data/Image Annotation

Required Expertise: The ideal candidate would have experience in the following areas:

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

- Ability to consistently follow project-specific instructions, heuristics, and annotation guidelines.
- Robust attention to detail and annotation quality.

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

Priority Experience

- High Neurophysiology, Neuroscience, or Biomedical Engineering
- High Signal processing or electrophysiology data review
- Medium Medical device data annotation
- Medium Clinical research or physiology-related studies
- Nice to Have Spinal cord stimulation or neuromodulation knowledge
- Nice to Have ECG, EEG, EMG, or EP waveform interpretation experience

📌 Associate Clinical Data Specialist (Hyderabad)
🏢 HealthMinds Consulting
📍 Hyderabad