Predictive models for small-molecule drug metabolism
Large-scale experimental metabolite identification data
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Pfizer is seeking a Postdoctoral Fellow with expertise in AI and ML for drug metabolite identification, focusing on developing predictive models for small-molecule drug metabolism. The role emphasizes collaboration with experts in biotransformation and offers the chance to work with large datasets, contributing to impactful drug discovery processes.
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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: 75
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Pfizer is seeking a Postdoctoral Fellow with expertise in AI and ML for drug metabolite identification, focusing on developing predictive models for small-molecule drug metabolism. The role emphasizes collaboration with experts in biotransformation and offers the chance to work with large datasets, contributing to impactful drug discovery processes.
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Salary
Base: $64,600.00 - $107,600.00; Bonus/Equity: 7.5% of base salary; Benefits: Comprehensive and generous benefits
Skills & Requirements
Must-have
machine learning models
predictive models for small-molecule drug metabolism
large-scale experimental metabolite identification data
data-driven prediction of metabolic sites
interpretable, mechanistically grounded ML models
AI-enabled decision-support workflows
Nice-to-have
work effectively in a highly collaborative
strong written and verbal communication skills
interest in interpretable and mechanistically grounded ML approaches