Postdoctoral Fellow – Ai/ml For Drug Metabolite Identification
Pfizer
United States
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
The role involves developing interpretable, mechanistically grounded ML models trained on empirical metabolite structure and abundance data to predict metabolic sites and transformation pathways
Job Summary
The role involves developing interpretable, mechanistically grounded ML models trained on empirical metabolite structure and abundance data to predict metabolic sites and transformation pathways.
Candidates will collaborate closely with biotransformation, drug safety, and computational ADME scientists to integrate predictive models into AI-enabled decision-support workflows.
The position offers a unique opportunity to apply advanced ML/AI approaches to real-world pharmaceutical data at unprecedented scale with relocation support available.
Matching Summary
The role involves developing interpretable, mechanistically grounded ML models trained on empirical metabolite structure and abundance data to predict metabolic sites and transformation pathways.
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
Ability to develop predictive models from empirical data
Nice-to-have
Familiarity with drug metabolism and biotransformation data
Interest in interpretable and mechanistically grounded ML approaches
Experience working in interdisciplinary research environments
Strong written and verbal communication skills
Track record of first-author publications in peer-reviewed journals
Key Requirements
PhD in computational chemistry, cheminformatics, or machine learning
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 required