Cheminformatics & Python Solutions Developer

Cheminformatics & Python Solutions DeveloperLocation: Groton, Connecticut (CT)Duration: 6 MonthsOrganization: PfizerBusiness Area: Pharmaceutical Research & Development – Molecules & Assays SolutionsWork Arrangement: Hybrid / Role-dependentEmployment Level: To be finalizedRole SummaryDevelop scientific software and automate chemistry workflows to support molecular research and digital transformation initiatives.Combine strong Python development skills with chemistry domain expertise.Curate, standardize, validate, and modify chemical structures and associated molecular data.Support chemistry data management, scientific computing, and AI/ML research initiatives.Required Technical SkillsStrong experience in Python development, including applications, APIs, libraries, and automated workflows.Knowledge of cheminformatics and chemical structure processing.Experience with cheminformatics toolkits such as:RDKitChemAxonEquivalent cheminformatics technologiesUnderstanding of chemical structures, molecular properties, stereochemistry, and compound metadata.Experience with data ingestion, transformation, validation, standardization, and export pipelines.Knowledge of API integration, scientific databases, and enterprise or cloud services.Experience writing modular, tested, maintainable, and production-ready code.Familiarity with code reviews, documentation, release management, and production support.Understanding of data preparation and feature-generation workflows for predictive modeling, molecular design, and AI-enabled research.Roles and Responsibilities1. Chemistry Data Curation and Structure ManagementCurate, validate, and maintain chemical structure data across research platforms and scientific workflows.Perform chemical structure standardization and normalization, including:Salt and solvent handlingValence checksCharge normalizationTautomer treatmentStereochemistry reviewDuplicate identificationSupport compound registration, structure correction, and structure modification.Manage molecular metadata and ensure data accuracy and consistency.Investigate and resolve chemistry data-quality issues in collaboration with medicinal chemists, computational scientists, and informatics teams.Define and implement repeatable quality-control rules for chemistry datasets used in analytics and AI/ML initiatives.2. Python Development and AutomationDesign and develop Python-based applications, APIs, libraries, and automated workflows for chemistry and scientific data processing.Build scalable pipelines for chemical structure ingestion, transformation, validation, standardization, and export.Integrate chemistry platforms, scientific databases, and enterprise or cloud services using APIs and data-integration patterns.Develop modular, tested, maintainable code following software development best practices.Participate in code reviews, technical documentation, release management, and production support.Create scientist-friendly utilities, notebooks, and lightweight interfaces to reduce manual curation effort and improve traceability.3. Cheminformatics and Scientific ComputingUse RDKit, ChemAxon, or equivalent tools for molecular analysis and chemical structure processing.Develop capabilities for:Substructure and similarity searchesMolecular scaffold analysisMolecular descriptor calculationCompound clusteringMolecular property computationApply chemistry domain knowledge to ensure software outputs are scientifically accurate and meaningful.Support data preparation and feature-generation workflows for predictive modeling and molecular design.Contribute to AI-enabled research and machine learning initiatives in pharmaceutical discovery.4. Stakeholder Collaboration and DeliveryCollaborate with chemists, informaticians, data scientists, product owners, and software engineers.Translate scientific and business requirements into technical solutions.Participate in solution design, effort estimation, development, testing, and validation.Support deployment, operational activities, and ongoing software maintenance.Communicate technical decisions and scientific data-processing approaches effectively to technical and non-technical stakeholders.Key Skills SummaryPython DevelopmentCheminformaticsRDKit and ChemAxonChemical Structure Curation and StandardizationMolecular Data ManagementCompound Registration and Metadata ManagementStereochemistry and Tautomer HandlingMolecular Descriptors and Property ComputationSubstructure and Similarity SearchingScaffold Analysis and Compound ClusteringScientific Data Pipelines and AutomationAPI Development and IntegrationData Quality and ValidationAI/ML Data PreparationPredictive Modeling and Molecular DesignPharmaceutical Research and DevelopmentCross-functional Collaboration and Technical Documentation