Danaher Corporation
Danaher Corporation
Danaher Corporation जीवन विज्ञान और निदान संबंधी प्रौद्योगिकियाँ विकसित करती है, जिनका उपयोग वैज्ञानिक अनुसंधान, जैव प्रौद्योगिकी और नैदानिक परीक्षणों में किया जाता है। इसके व्यवसाय शैक्षणिक संस्थानों, दवा और जैव प्रौद्योगिकी कंपनियों तथा नैदानिक प्रयोगशालाओं के लिए उपकरण, सॉफ़्टवेयर, प्रौद्योगिकियाँ और सेवाएँ उपलब्ध कराते हैं। कंपनी का ध्यान जैव प्रौद्योगिकी उपकरणों, निदान प्लेटफ़ॉर्मों और जीवन विज्ञान से जुड़े अन्य उत्पादों पर है। Danaher Business System के माध्यम से कंपनी अपने संचालन का प्रबंधन करती है और ऐसे अधिग्रहणों के जरिए अपने पोर्टफोलियो का विस्तार करती है, जो उसकी प्रौद्योगिकी और ग्राहक पहुंच को बढ़ाते हैं।

Clinical Digitalization and AI Enablement Lead - Danaher, Shanghai

Lead clinical evidence, digital workflow, and responsible AI initiatives at Danaher in Shanghai. The role supports scientific content, clinical tools, and AI solutions across Clinical Affairs.

विवरण

  • Conduct medical literature searches, assess clinical evidence, and produce scientific summaries and related content.
  • Contribute medical and scientific expertise to clinical study design, clinical documentation, and evidence-generation work.
  • Review scientific materials for medical accuracy, clarity, and consistency.
  • Support manuscript development, review, publication, and related scientific communications.
  • Analyze Clinical Affairs workflows and identify digitalization opportunities that improve efficiency, quality, visibility, and knowledge sharing.
  • Help design, implement, and enhance clinical digital tools, dashboards, automated workflows, and knowledge solutions.
  • Encourage effective use of existing digital solutions and assess their adoption, user experience, and business value.
  • Partner with clinical teams and cross-functional stakeholders to embed validated digital solutions into daily workflows.
  • Identify clinical and scientific needs that could be addressed with AI-enabled solutions.
  • Convert business needs into defined AI use cases and prioritize them by value, feasibility, risk, and scalability.
  • Build and maintain a prioritized Clinical AI use-case portfolio and roadmap focused on literature review, scientific content, and clinical knowledge applications.
  • Assess AI tools, platforms, and vendor offerings for business fit, scientific reliability, source traceability, and user needs.
  • Guide selected AI initiatives from business design and pilot delivery through evaluation and adoption.
  • Create practical guidance, training resources, and reusable workflows that support responsible AI adoption across Clinical Affairs.

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