Postdoctoral Fellow – Ai/ml For Drug Metabolite Identification

Pfizer

Base: $64,600.00 to $107,600.00; bonus: 7.5% of ba...
Hybrid
Phd in computational chemistry or related field
Strong background in machine learning and ai
Experience with chemical structure data
Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning to develop predictive models for drug metabolism within their Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group. This hybrid position involves working with large-scale experimental data and collaborating with experts to enhance drug discovery processes through advanced modeling techniques

Job Summary

  • The role involves developing predictive models for small-molecule drug metabolism using Pfizer's extensive curated in vitro metabolism data assets.
  • Candidates must have a PhD in a relevant discipline and demonstrate the ability to develop predictive models using empirical, experimentally derived data.
  • The position offers relocation support, a competitive salary range of $64,600 to $107,600, and eligibility for a performance bonus plan.

Matching Summary

Match Score: 85

Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning to develop predictive models for drug metabolism within their Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group. This hybrid position involves working with large-scale experimental data and collaborating with experts to enhance drug discovery processes through advanced modeling techniques.

Salary

Base: $64,600.00 to $107,600.00; Bonus: 7.5% of base salary target; Benefits: 401(k) matching, paid vacation, health coverage

Skills & Requirements

Must-have

  • PhD in computational chemistry or related field
  • Strong background in machine learning and AI
  • Experience with chemical structure data
  • Programming for large-scale data engineering
  • First-author publication in peer-reviewed journal

Nice-to-have

  • Experience with drug metabolism and biotransformation
  • Interest in interpretable mechanistically grounded ML
  • Ability to work in interdisciplinary research environment
  • Familiarity with ADME-related data assets
  • Strong written and verbal communication skills

Key Requirements

  • PhD in computational chemistry, cheminformatics, or data science
  • Less than 2 years of post-degree experience
  • Minimum 2-year commitment required
  • At least one first-author publication in a peer-reviewed journal
  • Permanent work authorization in the United States

Work Rights

Must have permanent work authorization in the U.S.

Tailored Resume

Cover Letter