Cheminformatics & Python Solutions Developer
Madhuri MUnited StatesSENIORPosted 14d ago
PythonRDKitChemAxonChemical structure curationData pipelinesAPI integrationUnit testingTechnical documentationAI/MLPredictive modeling
About the Role
We are looking for a Cheminformatics & Python Solutions Developer to join Pfizer Research & Development. This role involves developing Python-based applications and automated chemistry workflows to support chemical structure data management and analysis.
Key Responsibilities
• Curate, validate, and maintain chemical structure data across research platforms
• Standardize chemical structures and resolve data-quality issues
• Support compound registration, structure correction, modification, and metadata management
• Develop Python-based applications and automated chemistry workflows
• Build scalable pipelines for chemical structure processing and data integration
• Develop scientist-friendly utilities, notebooks, and lightweight interfaces
• Apply cheminformatics techniques for molecular analysis and property computation
• Support predictive modeling, molecular design, and AI-enabled research
• Collaborate with medicinal chemists, computational scientists, informaticians, data scientists, and software engineers
• Participate in solution design, development, testing, validation, deployment, and operational support
Requirements
• 8+ years of experience in Python development for scientific applications
• Strong knowledge of cheminformatics tools such as RDKit and ChemAxon
• Experience with chemical structure curation, validation, standardization, and normalization
• Ability to handle salt/solvent, valence checks, charge normalization, tautomer treatment, and stereochemistry review
• Experience with duplicate identification, compound registration, and molecular metadata management
• Knowledge of molecular similarity and substructure search, scaffold analysis, descriptor calculation, and compound clustering
• Experience with data ingestion, transformation, validation, and export pipelines
• API integration, scientific databases, and enterprise/cloud services
• Unit testing, code reviews, technical documentation, and production support
• Data preparation and feature-generation workflows for AI/ML and predictive modeling
Preferred / Additional Skills
• Chemistry domain knowledge and scientific computing experience
• Experience with molecular data quality control and AI/ML data preparation
• Strong analytical, problem-solving, communication, and collaboration skills
• Experience developing maintainable, tested scientific software