Postdoctoral Fellow, Ai/ml & Computational Immunology

Pfizer

Cambridge, Massachusetts, United States
Base: $64,600.00 - $107,600.00; bonus/equity: 7.5%...
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Ai/ml toolkits for macrophage biology
Single-cell and spatial omics data analysis
Deep learning models for efferocytosis
** Pfizer is seeking a highly motivated Postdoctoral Fellow in AI/ML and Computational Immunology to join their Systems Immunology group in Cambridge, MA. The role involves developing AI/ML tools to advance understanding of macrophage biology and efferocytosis, contributing to innovative therapeutic solutions. **

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.
  • The Postdoctoral Fellow will gain deep expertise in AI/ML for single-cell omics, work collaboratively across Pfizer's multidisciplinary systems immunology and discovery biology teams, and contribute to high-impact publications.

Matching Summary

Match Score: 75

** Pfizer is seeking a highly motivated Postdoctoral Fellow in AI/ML and Computational Immunology to join their Systems Immunology group in Cambridge, MA. The role involves developing AI/ML tools to advance understanding of macrophage biology and efferocytosis, contributing to innovative therapeutic solutions. **

Salary

Base: $64,600.00 - $107,600.00; Bonus/Equity: 7.5% target bonus; Benefits: Comprehensive and generous benefits including 401(k), paid time off, health benefits

Skills & Requirements

Must-have

  • AI/ML toolkits for macrophage biology
  • single-cell and spatial omics data analysis
  • deep learning models for efferocytosis
  • interpretable machine learning
  • Python and/or R programming
  • large datasets and modern compute environments

Nice-to-have

  • collaboration with wet-lab partners
  • scientific communication and publication
  • inflammation and fibrosis biology domain knowledge
  • modern AI assistants for coding

Key Requirements

  • Ph.D. in computational biology, bioinformatics, computer science, statistics, biomedical engineering, 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
  • Experience with machine learning methods
  • Willingness to make a minimum 2-year commitment

Work Rights

Permanent work authorization in the United States

Tailored Resume

Cover Letter