Danaher Corporation
Danaher Corporation
Danaher Corporation dezvoltă tehnologii pentru științele vieții și diagnostic, utilizate în cercetarea științifică, biotehnologie și testarea clinică. Companiile sale furnizează instrumente, software, tehnologii și servicii instituțiilor academice, companiilor farmaceutice și de biotehnologie și laboratoarelor clinice, cu accent pe instrumente de biotehnologie, platforme de diagnostic și alte produse pentru științele vieții. Compania își gestionează operațiunile prin Danaher Business System și își extinde portofoliul prin achiziții care îi dezvoltă tehnologiile și accesul la clienți.

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.

Descriere

  • 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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