Clinical Data Analyst

4 hours ago

Center District, Israel GO4iT Full time ₪60,000 - ₪80,000 per year

We are looking for Medical Data Analyst & Implementor for a AI-driven HealthTech startup

Job Description :


• Analyze clinical data, operative notes, and algorithmic outputs


• Write and execute advanced SQL queries on large data schemas


• Validate system results against clinical guidelines


• Investigate anomalies, identify root causes, and recommend solutions


• Implement and configure the platform for new customers


• Work directly with customers and collaborate with PM, Product, and R&D


• Lead tasks end-to-end: scoping, execution, validation, and documentation


• Create tools and workflows to monitor data quality and system performance


• Produce clear, structured documentation and maintain effective communication

Required Qualifications:

  • 3+ years in data implementation or data analysis
  • Strong SQL with complex queries – Must
  • Advanced Excel (functions, manipulation, analytics) – Must
  • Experience with MySQL or Document DBs – Advantage
  • Strong analytical skills and experience with large datasets
  • Excellent communication skills in English and Hebrew – Must
  • Ability to work in a fast-paced startup and manage multiple tasks
  • Customer-facing experience – Advantage
  • Experience with EMR, clinical systems, or healthcare data – Significant advantage
  • Experience in product-oriented startups
  • Engineering or scientific degree (or strong data background without a degree)
  • Experience leading technical or data-related tasks
  • Multitasking, flexibility, resilience, and high responsibility
  • Highly organized, detail-oriented, and thorough
  • Strong problem-solving and critical thinking abilities
  • Ability to understand both business context and technical depth
  • Strong documentation and communication abilities
  • Team player with ownership, initiative, and accountability
  • Ability to identify issues, define root causes, and propose solutions
  • Passion for complex analytical and technical challenges

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