Medical Affairs AI Lead

Role Responsibilities:
- Define and communicate the AI transformation vision for Medical Affairs, aligned with enterprise AI strategy and function-specific needs.
- Identify high-impact AI use cases across HQ Medical (Medical Strategy, Publications, Medical Information, Competitive Intelligence) and Field Medical (Field Medical operations, congress management, advisory boards, ISS/IIRs).
- Prioritize initiatives based on value, feasibility, and strategic alignment, distinguishing commoditized use cases from high-leverage opportunities.
- Stay current on emerging AI capabilities (context engineering, agentic workflows, integration standards such as MCP) and translate them into actionable opportunities.
- Build functional prototypes and proofs-of-concept (POCs) to demonstrate value before full-scale investment.
- Develop and maintain Medical Affairs specific Agent Skills (reusable instruction sets, templates, domain knowledge packages).
- Create and curate Agent Skills libraries, workflow templates, and context architectures optimized for Medical Affairs.
- Configure AI solutions with therapeutic area content, scientific terminology, and compliance/regulatory constraints.
- Enable Medical Affairs subject-matter experts to contribute to and customize Agent Skills while maintaining quality and governance.
- Serve as liaison between Medical Affairs and IT for AI initiatives (translate business needs into technical requirements and vice versa).
- Develop technical specifications and architecture documentation to enable IT to scope, implement, support, and monitor solutions.
- Build cross-functional partnerships (Technology, Legal, Compliance, Privacy, Procurement, Data) and remove bottlenecks (approval paths, data governance, security concerns, vendor evaluation).

Basic Qualifications:
- Leadership experience influencing/collaborating with peers, coaching others, and guiding colleagues to deliver outcomes.
- Advanced degree in life sciences/pharmacy/related field (PharmD, PhD, MD, or equivalent preferred) and/or degree in software development or computer science.
- 5+ years of Medical Affairs experience (HQ or Field) with hands-on exposure to Medical Affairs and/or software development for large, regulated enterprises.
- Technical fluency: ability to build prototypes, develop AI instructions, and critically evaluate AI outputs.
- Proven track record partnering with IT, Legal, Compliance, and other enterprise stakeholders in governed environments.
- Excellent communication skills; ability to translate between technical and business audiences.

Preferred Qualifications:
- Experience with agentic AI frameworks, context engineering, or Agent Skills development.
- Background in Medical Affairs, Field Medical operations, or scientific communications.
- Experience with MCP (Model Context Protocol) or similar integration standards.
- Familiarity with Veeva, Salesforce, or other Medical Affairs data platforms.
- Understanding of pharmaceutical compliance and regulatory considerations.

Application Instructions:
- Last Date to Apply for Job: April 30, 2026
- Work Location Assignment: Hybrid; work from assigned office 2–3 days per week or as needed by the business.