We are looking to identify AI/ML Engineers - Vaccine Research who will play a strategic role at the intersection of artificial intelligence, vaccinology, and translational science. You will help define the future of AI-driven vaccinology, with the potential to impact human lives globally. Embedded within Vaccines R&D, supporting viral and bacterial vaccine programs, you will help define how advanced AI methods are applied to unlock new biological insights and accelerate next-generation vaccine innovation. As an AI Science Engineer, you will work shoulder-to-shoulder with leading Scientists, Immunologists, and Clinicians to translate complex biology into differentiated vaccine strategies. Your work will go beyond proof-of-concept models - your AI systems will directly inform scientific hypotheses, experimental design, and portfolio decisions across the vaccine pipeline.

Shape scientific strategy with AI

Design, develop, and deploy AI systems directly influence vaccine discovery and development decisions, informing antigen selection, experimental prioritization, translational strategies, and clinical study design.Serve as scientific thought partner to vaccine R&D leaders, helping integrate AI-driven insights into program-level and portfolio-level strategy

Own foundational and predictive modeling end-to-end

Lead AI initiatives spanning antigen discovery and optimization, experimental design, translational modeling, clinical trial simulation, patient stratification, and operational forecastingTake models from concept through validation, deployment, and measurable scientific impact.

Advance generative AI for vaccine design

Apply state-of-the-art generative and foundation models to protein and antigen engineering.Rapidly prototype, rigorously evaluate, and responsibly deploy AI methods in high-stakes scientific contexts.

Engineer robust, scalable AI systems

Architect reliable ML pipelines using modern MLOps practices across cloud and HPC environments, with strong attention to reproducibility, governance, and scientific credibilityStandardize and automate the ML lifecycle, enabling long-term sustainability, compliance, and auditability.

Decode high-dimensional biology and stay at the scientific frontier

Integrate multimodal datasets – including omics, immunological data, clinical and real-world evidence, and scientific literature - to uncover biological insight and guide experimental and clinical decision-making.Continuously assess emerging AI methods and technologies, translating cutting-edge advances into practical, defensible applications for vaccine research.

Elevate AI fluency across the organization and represent Pfizer science externally

Mentor Scientists and Engineers, foster scientific curiosity, and help build a culture where AI-enabled experimentation and learning are embedded in daily R&D practice.Publish, present, and engage with the broader AI, immunology, infectious disease, and vaccine/life-sciences community at leading scientific conferences and forums.