1. Medical and Scientific Support 

• Conduct medical literature searches and reviews, synthesize clinical evidence, and prepare scientific summaries and related content. 

• Provide medical and scientific input to clinical study design, clinical documents and evidence-generation activities. 

• Review scientific content to ensure medical accuracy, clarity and consistency. 

• Support manuscript preparation, review, publication activities and related scientific communication. 

2. Clinical Digitalization 

• Understand Clinical Affairs workflows and identify opportunities to improve efficiency, quality, visibility and knowledge sharing through digitalization. 

• Support the design, implementation and continuous improvement of clinical digital tools, dashboards, automated workflows and knowledge solutions. 

• Promote the effective use of existing digital solutions and evaluate their adoption, user experience and business value. 

• Collaborate with clinical teams and cross-functional partners to integrate validated digital solutions into routine workflows. 

3. AI Opportunity and Solution Enablement 

• Identify clinical and scientific business needs that can be addressed through AI-enabled solutions. 

• Translate business needs into clearly defined AI use cases and prioritize them based on business value, feasibility, risk and scalability. 

• Develop and maintain a prioritized Clinical AI use case portfolio and roadmap, with a focus on literature review, scientific content and clinical knowledge applications. 

• Research and evaluate AI tools, platforms and vendor solutions based on business fit, scientific reliability, source traceability and user needs. 

• Lead selected AI initiatives from business design and pilot implementation through evaluation and adoption. 

• Develop practical guidance, training materials and reusable workflows to support responsible AI adoption across Clinical Affairs.