Postdoctoral Fellow, Ai/ml & Computational Immunology

Pfizer

Cambridge, MA, US
Base: $64,600.00 to $107,600.00; bonus: 7.5% targe...
Hybrid (3 days onsite, flexible offsite work)
Ph.d. in computational biology or related field
Experience analyzing single-cell rna-seq data
Proficiency in python and/or r programming
Pfizer is seeking a Postdoctoral Fellow specializing in AI/ML and computational immunology to advance therapeutic innovation within their Systems Immunology group in Cambridge, MA. The role focuses on developing next-generation computational frameworks to analyze macrophage biology and improve understanding of inflammation and fibrotic diseases

Job Summary

  • This role advances therapeutic innovation by developing next-generation AI/ML toolkits to decode macrophage biology and efferocytosis in inflammatory diseases.
  • The successful candidate will design deep learning models to recover mixed host-cargo transcriptomes and link macrophage-cargo interactions to disease outcomes.
  • Pfizer offers a competitive salary range, performance bonuses, comprehensive health benefits, and relocation support for this flexible hybrid role in Cambridge, MA.

Matching Summary

Match Score: 85

Pfizer is seeking a Postdoctoral Fellow specializing in AI/ML and computational immunology to advance therapeutic innovation within their Systems Immunology group in Cambridge, MA. The role focuses on developing next-generation computational frameworks to analyze macrophage biology and improve understanding of inflammation and fibrotic diseases.

Salary

Base: $64,600.00 to $107,600.00; Bonus: 7.5% target of base salary; Benefits: 401(k) match, paid vacation, medical/dental/vision coverage

Skills & Requirements

Must-have

  • Ph.D. in computational biology or related field
  • Experience analyzing single-cell RNA-seq data
  • Proficiency in Python and/or R programming
  • Experience with machine learning methods
  • Ability to work with large datasets on HPC/cloud

Nice-to-have

  • Experience with spatial transcriptomics tools
  • Familiarity with deep learning architectures like VAEs
  • Knowledge of interpretable machine learning techniques
  • Domain knowledge of inflammation and fibrosis biology
  • Experience integrating multi-modal datasets

Key Requirements

  • Minimum 2-year commitment required
  • Less than 2 years post-doctoral experience
  • At least 1 first-author scientific research article
  • Permanent work authorization in the U.S. required
  • No visa sponsorship available

Work Rights

Must have permanent work authorization in the U.S.

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