Postdoctoral Fellow, Ai/ml & Computational Immunology

Pfizer

Cambridge, Massachusetts, United States
Base: $64,600.00 - $107,600.00; bonus/equity: 7.5%...
Hybrid (3 days on-site, 2 days remote)
Ai/ml for single-cell omics
Machine learning model development
Single-cell rna-seq data analysis
Pfizer is seeking a Postdoctoral Fellow in AI/ML and Computational Immunology to join their Systems Immunology group in Cambridge, MA. This role involves developing machine learning models to analyze immune cell behavior and contribute to therapeutic innovations in inflammation and fibrotic diseases

Job Summary

  • This role will advance therapeutic innovation through the development and deployment of next-generation AI/ML toolkits to decode macrophage biology, efferocytosis, and myeloid cell states in inflammation and fibrotic disease pathophysiology.
  • The postdoctoral research project aims to develop a computational framework to deconvolve efferocytosis events from single-cell and spatial omics data using deep learning models.
  • The ideal candidate should have strong computational and quantitative training with domain interest or expertise in immunology, inflammation, and/or systems biology.

Matching Summary

Match Score: 85

Pfizer is seeking a Postdoctoral Fellow in AI/ML and Computational Immunology to join their Systems Immunology group in Cambridge, MA. This role involves developing machine learning models to analyze immune cell behavior and contribute to therapeutic innovations in inflammation and fibrotic diseases.

Salary

Base: $64,600.00 - $107,600.00; Bonus/Equity: 7.5% target bonus; Benefits: Comprehensive and generous benefits and programs

Skills & Requirements

Must-have

  • AI/ML for single-cell omics
  • Machine learning model development
  • Single-cell RNA-seq data analysis
  • Python and/or R programming
  • Interpretable machine learning approaches

Nice-to-have

  • Spatial transcriptomics/omics experience
  • Deep learning architectures for omics
  • Familiarity with interpretability techniques
  • Domain knowledge of inflammation and fibrosis

Key Requirements

  • Ph.D. in computational biology, bioinformatics, computer science, statistics, biomedical engineering, immunology with strong quantitative focus, or related field
  • Less than 2 years post-doctoral experience
  • At least 1 first-author scientific research article
  • Experience analyzing single-cell RNA-seq data
  • Proficiency in Python and/or R
  • Experience with machine learning methods
  • Ability to work with large datasets and modern compute environments

Work Rights

Permanent work authorization required

Tailored Resume

Cover Letter