Jobs → Engineering → Cheminformatics & Python Solutions Developer

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

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