Postdoctoral Fellow – Ai/ml For Drug Metabolite Identification

Pfizer

Base: $64,600.00 to $107,600.00; bonus: 7.5% targe...
Hybrid
Phd in computational chemistry or related field
Strong background in machine learning applied to scientific datasets
Experience with chemical structure data and molecular representations
Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning to enhance drug metabolism prediction models utilizing large-scale experimental data. The role involves close collaboration with biotransformation and drug safety teams, providing a dynamic environment for impactful scientific contributions

Job Summary

  • The role involves developing predictive models for small-molecule drug metabolism using Pfizer's extensive curated in vitro metabolism data assets.
  • Candidates will collaborate closely with biotransformation experts to validate models as experimental data is generated and integrate them into AI-enabled decision-support workflows.
  • Successful applicants must have a PhD, at least one first-author publication, and be willing to commit to a minimum of two years.

Matching Summary

Match Score: 85

Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning to enhance drug metabolism prediction models utilizing large-scale experimental data. The role involves close collaboration with biotransformation and drug safety teams, providing a dynamic environment for impactful scientific contributions.

Salary

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

Skills & Requirements

Must-have

  • PhD in computational chemistry or related field
  • Strong background in machine learning applied to scientific datasets
  • Experience with chemical structure data and molecular representations
  • Programming skills for large-scale data engineering
  • First-author publication in peer-reviewed journal

Nice-to-have

  • Familiarity with drug metabolism and biotransformation data
  • Interest in interpretable and mechanistically grounded ML approaches
  • Ability to work effectively in interdisciplinary research environments
  • Strong written and verbal communication skills

Key Requirements

  • PhD in computational chemistry, cheminformatics, or machine learning
  • Less than 2 years of post-degree experience
  • Minimum 2-year commitment required
  • Permanent work authorization in the United States required
  • No visa sponsorship available

Work Rights

Must have permanent work authorization in the US

Tailored Resume

Cover Letter