Medical Affairs AI Lead
Pfizer
9 hours ago
Remote friendly (New York, NY)
United States
Medical Affairs
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 (e.g., Medical Strategy, Publications, Medical Information, Competitive Intelligence) and Field Medical (e.g., 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 unique to the organization.
- Stay current on emerging AI capabilities (e.g., context engineering, agentic workflows, integration standards such as MCP) and translate them into actionable opportunities.
- Build functional prototypes and proofs-of-concept (POCs) that allow stakeholders to experience value before full-scale investment.
- Develop and maintain Medical Affairs specific Agent Skills: reusable instruction sets, templates, and domain knowledge packages deployable across multiple workflows.
- Create and curate Agent Skills libraries, workflow templates, and context architectures optimized for Medical Affairs applications.
- 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 the primary liaison between Medical Affairs and IT for AI initiatives, translating business needs into technical requirements and vice versa.
- Develop technical specifications and architecture documentation that enable IT to scope, implement, support, and monitor solutions.
- Build cross-functional partnerships (Technology, Legal, Compliance, Privacy, Procurement, Data) and proactively remove bottlenecks (approval paths, data governance, security concerns, vendor evaluation).
Basic Qualifications
- Breadth of diverse leadership experiences; ability to influence/collaborate, develop and coach others, and guide colleagues to meaningful outcomes and business impact.
- Advanced degree in life sciences, pharmacy, or 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 in software development for large, regulated enterprises.
- Technical fluency: ability to build prototypes, develop AI instructions, and critically evaluate AI outputs.
- Track record partnering with IT, Legal, Compliance, and other stakeholders to deliver solutions 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
- Hybrid: work in assigned office 2–3 days per week (or as needed by the business).
- 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 (e.g., Medical Strategy, Publications, Medical Information, Competitive Intelligence) and Field Medical (e.g., 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 unique to the organization.
- Stay current on emerging AI capabilities (e.g., context engineering, agentic workflows, integration standards such as MCP) and translate them into actionable opportunities.
- Build functional prototypes and proofs-of-concept (POCs) that allow stakeholders to experience value before full-scale investment.
- Develop and maintain Medical Affairs specific Agent Skills: reusable instruction sets, templates, and domain knowledge packages deployable across multiple workflows.
- Create and curate Agent Skills libraries, workflow templates, and context architectures optimized for Medical Affairs applications.
- 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 the primary liaison between Medical Affairs and IT for AI initiatives, translating business needs into technical requirements and vice versa.
- Develop technical specifications and architecture documentation that enable IT to scope, implement, support, and monitor solutions.
- Build cross-functional partnerships (Technology, Legal, Compliance, Privacy, Procurement, Data) and proactively remove bottlenecks (approval paths, data governance, security concerns, vendor evaluation).
Basic Qualifications
- Breadth of diverse leadership experiences; ability to influence/collaborate, develop and coach others, and guide colleagues to meaningful outcomes and business impact.
- Advanced degree in life sciences, pharmacy, or 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 in software development for large, regulated enterprises.
- Technical fluency: ability to build prototypes, develop AI instructions, and critically evaluate AI outputs.
- Track record partnering with IT, Legal, Compliance, and other stakeholders to deliver solutions 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
- Hybrid: work in assigned office 2–3 days per week (or as needed by the business).