Postdoctoral Fellow In Ai/ml Applications For Vaccine Research & Development

Pfizer

Base: $64,600.00 - $104,500.00; bonus/equity: 7.5%...
Hybrid
Develop advanced ai and machine learning models
Apply transfer learning to translate predictive models
Conduct meta-analyses of large-scale immunogenicity datasets
Develop advanced AI and machine learning models, including transformer architectures and graph neural networks, to represent molecular features and predict immunogenicity of pneumococcal conjugate vaccines using preclinical and clinical data

Job Summary

  • Develop advanced AI and machine learning models, including transformer architectures and graph neural networks, to represent molecular features and predict immunogenicity of pneumococcal conjugate vaccines using preclinical and clinical data.
  • Engage in active collaboration with multidisciplinary teams, encompassing experts in data science, preclinical analysis, and clinical vaccine research, to advance pneumococcal conjugate vaccines development.
  • We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.

Matching Summary

Develop advanced AI and machine learning models, including transformer architectures and graph neural networks, to represent molecular features and predict immunogenicity of pneumococcal conjugate vaccines using preclinical and clinical data.

Salary

Base: $64,600.00 - $104,500.00; Bonus/Equity: 7.5% bonus target; Benefits: Comprehensive and generous benefits

Skills & Requirements

Must-have

  • Develop advanced AI and machine learning models
  • Apply transfer learning to translate predictive models
  • Conduct meta-analyses of large-scale immunogenicity datasets
  • Harmonize and curate preclinical and clinical datasets
  • Proficiency in Python and AI Machine Learning frameworks
  • Solid understanding of immunology

Nice-to-have

  • Collaborative experience with experimental biologists
  • Familiarity with regulatory and translational aspects
  • Glycan-focused modeling and representation

Key Requirements

  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Immunology, or related field
  • Less than 2 years of post-degree experience
  • Minimum 2-year commitment
  • At least one first-author publication
  • Demonstrated expertise in machine learning and deep learning
  • Experience with statistical modeling
  • Strong data management and curation skills
  • Excellent scientific communication skills
  • Ability to work across computational and wet-lab teams

Work Rights

Permanent work authorization in the United States

Tailored Resume

Cover Letter