Danaher Corporation
Danaher Corporation
Danaher Corporation develops life sciences and diagnostic technologies used in scientific research, biotechnology, and clinical testing. Its businesses provide instruments, software, technologies, and services for academic institutions, pharmaceutical and biotechnology companies, and clinical laboratories, with a focus on biotechnology tools, diagnostics platforms, and other life sciences products. The company manages its operations through the Danaher Business System and grows its portfolio through acquisitions that expand its technology and customer reach.

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.

Description

  • 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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