Postdoctoral Fellow: Generative Ai For Protein Engineering

Pfizer

Base: $64,600.00 - $107,600.00; bonus/equity: 7.5%...
Hybrid
Generative modeling for protein design
Machine learning for protein optimization
Pytorch and rdkit libraries
Conduct original research in computational protein engineering, with an emphasis on sequence- and structure-based generative modeling for protein fiducial design (i.e., RFDiffusion, ProteinMPNN)

Job Summary

  • Conduct original research in computational protein engineering, with an emphasis on sequence- and structure-based generative modeling for protein fiducial design (i.e., RFDiffusion, ProteinMPNN).
  • Develop and deploy state-of-the-art ML methods for multi-objective, constraint-aware protein optimization, balancing affinity, stability, and developability.
  • The program strongly supports professional growth through structured mentorship, scientific publication, and career development.

Matching Summary

Conduct original research in computational protein engineering, with an emphasis on sequence- and structure-based generative modeling for protein fiducial design (i.e., RFDiffusion, ProteinMPNN).

Salary

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

Skills & Requirements

Must-have

  • Generative modeling for protein design
  • Machine learning for protein optimization
  • PyTorch and RDKit libraries
  • Python scientific ecosystem
  • GPU-accelerated workflows

Nice-to-have

  • Antibody design experience
  • Fine-tuning foundation models
  • Reinforcement learning techniques
  • Cloud environment deployment

Key Requirements

  • Ph.D. degree in related discipline
  • Less than 2 years of post-degree experience
  • Minimum 2-year commitment
  • 2-3 first-author publications
  • Permanent work authorization in the United States

Work Rights

Permanent work authorization required

Tailored Resume

Cover Letter