Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning for drug metabolism research in Connecticut. This role involves developing predictive models for small-molecule drug metabolism using large-scale experimental data and collaborating with interdisciplinary teams
Job Summary
Develop machine learning models to predict sites and types of small-molecule metabolism using large, curated MetID datasets.
Contribute to integration of predictive metabolism models into AI- and LLM-enabled decision-support workflows.
Communicate results through internal presentations, cross-functional discussions, and scientific publications.
Matching Summary
Match Score: 85
Pfizer is seeking a Postdoctoral Fellow with expertise in AI and machine learning for drug metabolism research in Connecticut. This role involves developing predictive models for small-molecule drug metabolism using large-scale experimental data and collaborating with interdisciplinary teams.
Salary
Base: $64,600.00 - $107,600.00; Bonus/Equity: 7.5% of base salary; Benefits: Comprehensive and generous benefits and programs
Skills & Requirements
Must-have
machine learning models
large curated MetID datasets
chemical structure data
predictive models
AI-enabled decision-support workflows
Nice-to-have
interpretable ML approaches
mechanistically grounded ML
drug discovery and development
interdisciplinary research environment
Key Requirements
PhD in computational chemistry, cheminformatics, machine learning, data science, or related field