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Publisher
source

Pfizer

Postdoctoral Fellow in AI/ML Applications for Vaccine Design and Viral Genomics Pfizer in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Pfizer

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Keywords

Computer Science
Biology
Artificial Intelligence
Medical Science
Surveillance
Immunity
Statistics
Bioinformatic
Machine learning

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About this position

Pfizer R&D is advertising a Postdoctoral Fellow opportunity in AI and viral genomics at its Pearl River, New York site. The role sits at the intersection of machine learning, viral evolution, and vaccine design, with a strong emphasis on building predictive models that can help anticipate future vaccine needs.

Successful candidates will work on developing transformer models and graph neural networks, integrating global surveillance data with immunogenicity and efficacy datasets, and identifying signals that drive viral evolution and inform vaccine strategy. The position is research-oriented and includes the opportunity to publish impactful work while contributing to real-world vaccine decisions.

This is a postdoctoral opening in the United States. The post does not specify stipend, tuition, or other funding details, but it is presented as a professional research role within Pfizer R&D rather than a scholarship. Applicants with a background or strong interest in AI/ML, bioinformatics, viral genomics, and quantitative modeling are the best fit.

To apply, use the linked Pfizer Workday job posting or the short application link shared in the post. You can also connect with the recruiter for more information.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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