AIML Engineer Vaccines Modeling and Antigen Discovery

We are looking to identify an AI/ML Engineer - Vaccines Modeling and Antigen Discoverywho 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 work will go beyond proofofconcept models - your AI systems will directly inform scientific hypotheses experimental design and portfolio decisions across the vaccine pipeline.

What youll do:

Model immune response and translational biology

• Conduct the development of predictive and multimodal models of vaccine-induced immune responses including humoral cellular systems immunology and durability readouts.

• Advance translational modeling approaches that connect preclinical clinical epidemiological and real-world evidence to support dose selection patient stratification correlates of protection and clinical study design.

Accelerate novel antigen discovery and rational vaccine design

• Apply foundation models generative AI structure-aware learning protein language models and sequence-to-function modeling to identify optimize and prioritize novel vaccine antigens.

• Integrate computational antigen design with experimental feedback loops to improve immunogenicity breadth manufacturability developability and translational relevance.

Build AI-ready data foundations and advance agentic AI and organizational AI fluency

• Partner across scientific clinical data and technology teams to make vaccine R&D data AI-ready through rigorous data standards metadata ontologies quality control provenance governance and reusable data products.

• Design and responsibly deploy agentic AI workflows that support scientific reasoning literature synthesis knowledge management experimental planning model interpretation and decision traceability in Vaccine R&D.

• Mentor Scientists Engineers and cross-functional partners to raise AI fluency promote responsible adoption and represent Pfizers scientific leadership at the interface of AI immunology infectious disease and vaccine innovation.

What youll bring

• PhD in Computer Science Machine Learning Computational Biology Software Engineering AI or a related discipline OR

• Masters degree in Computer Science Machine Learning Computational Biology Software Engineering AI or a related discipline and a minimum of 2 years of applied AI/ML experience in a Vaccines R&D Life Sciences or other related discovery focused environment

• Working knowledge of vaccine R&D workflows with emphasis on immune-response modeling antigen discovery and optimization and translational science.

• Demonstrated ability to develop and apply quantitative and AI/ML-enabled approaches for translating preclinical immunogenicity efficacy and systems-biology readouts into clinically relevant predictions.

• Proven experience working across cross-functional and multidisciplinary teams including immunology molecular biology serology bioinformatics and data science to ensure AI models are biologically grounded experimentally actionable and clinically meaningful.

• Demonstrated expertise in foundation model predictive modeling generative AI and ML system design.

• Strong programming skills in Python and modern ML frameworks (e.g. PyTorch TensorFlow) with experience scaling models in cloud and/or HPC environments.

• Experience collaborating with Experimental Scientists Clinicians and cross-functional partners.

• Clear scientific communicator with intellectual curiosity and a mission-driven mindset focused on improving patient outcomes

Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.