Postdoctoral Fellow, Ai/ml Applications For Vaccine
Pfizer
United States
Base: $64,600.00 to $107,600.00; bonus: 7.5% targe...
Hybrid
Deep learning for sequence data
Transformer or language-model architectures
Python and pytorch/tensorflow proficiency
This role leverages innovative design to develop AI-driven models for prospective vaccine strain selection at the interface of viral genomics and deep learning
Job Summary
This role leverages innovative design to develop AI-driven models for prospective vaccine strain selection at the interface of viral genomics and deep learning.
Candidates will integrate multi-source surveillance and immunogenicity data to compute coverage scores for candidate vaccine strains while ensuring rigorous benchmarking validation.
The position offers a competitive base salary ranging from $64,600.00 to $107,600.00 along with comprehensive benefits including a 401(k) plan and paid leave.
Matching Summary
This role leverages innovative design to develop AI-driven models for prospective vaccine strain selection at the interface of viral genomics and deep learning.
Salary
Base: $64,600.00 to $107,600.00; Bonus: 7.5% target of base salary; Benefits: 401(k) matching, health/dental/vision, paid leave
Skills & Requirements
Must-have
Deep learning for sequence data
Transformer or language-model architectures
Python and PyTorch/TensorFlow proficiency
Viral or microbial sequence data experience
Full modeling pipeline management
Nice-to-have
Experience with influenza or SARS-CoV-2
Knowledge of SHAP model interpretation
Background in antigenicity data integration
Protein language model extension experience
Time-resolved sequence forecasting skills
Key Requirements
Ph.D. in Computational Biology or related field
Less than 2 years post-degree experience
Must have US work authorization
Two letters of recommendation required
Minimum 2-year commitment willingness
Work Rights
Must have permanent work authorization in the United States