Postdoctoral Fellow, AI/ML Applications for Vaccine
$64,600–$107,600 year
On-site · Pearl River, New York, United States
Job Summary
Postdoctoral Fellow position at Pfizer focusing on AI/ML applications for vaccine design. You will design, implement, and validate AI-driven models for prospective vaccine strain selection, including sequence-based deep learning models for rapidly evolving viruses, integrating multi-source surveillance and immunogenicity data, benchmarking model performance, and communicating results to technical and non-technical stakeholders. Collaboration across scientific disciplines within Pfizer and with external partners, plus publishing findings with emphasis on reproducibility and clear reporting.
Required Qualifications
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Machine Learning, or a closely related field
- Demonstrated ability to independently design and implement complex ML models with first-author publications or equivalent open-source contributions
- Strong hands-on experience with deep learning for sequence data including transformer or language-model architectures and model training, validation, and benchmarking on large biological datasets
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) with experience managing full modeling pipelines and statistical modeling (e.g., regression, mixed-effects)
- Experience working with viral or microbial sequence data including alignment, curation, and longitudinal analysis across time
- Less than 2 years of post-degree experience
- Two letters of recommendation prior to interview
- Willingness to commit a minimum of 2 years
- Strong communication and collaboration skills to work in a hybrid team environment
- Ability to clearly communicate complex modeling concepts to technical and biological audiences
Additional Requirements
- U.S. work authorization required
- U.S. work visa sponsorship not available for this role now or in the future
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