Medical Affairs AI Lead

Pfizer, S.A. de C.VLocation Not Available

Stellenbeschreibung:

Job Title

Medical Affairs AI Lead

Location(s)

  • United States - New York - New York City
  • United States - Pennsylvania - Collegeville
  • United States - Massachusetts - Cambridge

Responsibilities

  • Define and communicate AI transformation vision for Medical Affairs aligned with enterprise AI strategy.
  • Identify high‑impact AI use cases across HQ Medical and Field Medical.
  • Prioritize initiatives based on value, feasibility, and strategic alignment.
  • Stay current on emerging AI capabilities and translate them into actionable opportunities.
  • Build functional prototypes and proofs‑of‑concept to demonstrate value.
  • Develop, maintain, and curate Medical Affairs specific Agent Skills, workflow templates, and context architectures.
  • Configure AI solutions with therapeutic area content, scientific terminology, and compliance/regulatory constraints.
  • Enable subject‑matter experts to contribute and customize Agent Skills while maintaining quality and governance.
  • Act as primary liaison between Medical Affairs and IT, translating business needs into technical requirements and vice versa.
  • Develop technical specifications and architecture documentation for scalable implementation.
  • Build cross‑functional partnerships and proactively remove bottlenecks across Technology, Legal, Compliance, Privacy, Procurement, and Data.

Basic Qualifications

  • Breadth of diverse leadership experience, influence, collaboration, coaching, and guiding teams to achieve impactful outcomes.
  • Advanced degree in life sciences, pharmacy, or related field (PharmD, PhD, MD preferred) or a degree in software development or computer science.
  • 5+ years of Medical Affairs experience (HQ or Field) or software development for large, regulated enterprises.
  • Demonstrated technical fluency: ability to build prototypes, develop AI instructions, and critically evaluate AI outputs.
  • Proven track record of partnering with IT, Legal, Compliance, and other stakeholders to deliver solutions in governed environments.
  • Excellent communication skills and 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 Model Context Protocol (MCP) or similar integration standards.
  • Familiarity with Veeva, Salesforce, or other Medical Affairs data platforms.
  • Understanding of pharmaceutical compliance and regulatory considerations.

Benefits and Compensation

Annual base salary ranges from $176,600.00 to $294,300.00. Eligible for Pfizer’s Global Performance Plan with a bonus target of 20% of base salary and a share‑based long‑term incentive program. Comprehensive benefits include 401(k) with company match, retirement savings contribution, paid vacation, holiday & personal days, caregiver/parental leave, medical, prescription drug, dental, and vision coverage.

Other Details

Last Date to Apply: April 30, 2026

Eligible for Relocation Package: No

Work Location Assignment: Hybrid – must work in assigned Pfizer office 2‑3 days per week or as needed by the business.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E‑Verify employer. This position requires permanent work authorization in the United States.

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Apr 2026
  • Standort:

    Einsatzort:

    Berlin, Deutschland
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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