Clinical Data Modeler

Job Title: Clinical Data Modeler Company: Astellas Job Category: Machine Learning Roles & Responsibilities: Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com We are seeking an experienced Clinical Data Modeler to design, build, deploy, and maintain reliable, scalable, and governed research data pipelines and reusable data products supporting Research \& Discovery, translational science, analytics, reporting, AI, and scientific decision\-making. Working with Clinical Operations, Data Management, Statisticians, Data Product Owners, Domain Data Architects, Domain Data Modelers, Data Governance Specialists, Data Scientists, and Platform Engineers, this role transforms raw scientific and laboratory data into trusted assets on the Databricks Data Intelligence Platform across Astellas' five\-layer architecture: Bronze, Silver, Silver\+, Gold, and Platinum. The successful candidate will combine strong data modeling expertise with knowledge of pharmaceutical Development data and an ability to facilitate alignment among clinical, operational, governance, architecture, engineering, and AI stakeholders. Responsibilities and Accountabilities: * Design and maintain conceptual, canonical, logical, semantic, and physical data models for pharmaceutical Development data products. * Translate clinical, operational, safety, regulatory, and business requirements into reusable enterprise information models. * Define core Development entities, attributes, identifiers, relationships, hierarchies, events, lifecycle states, temporal relationships, and business rules. * Establish canonical representations across studies, countries, sites, vendors, clinical systems, and Development functions. * Model longitudinal relationships require to understand study, site, investigator, subject, visit, milestone, safety, and trial execution over time. * Ensure models support operational reporting, advanced analytics, machine learning, generative AI, and application integration. * Apply relational, dimensional, graph, document, event\-based, and other modeling techniques based on business and technical requirements. * Maintain clear separation between source\-aligned models, canonical domain models, governed data products, and consumption\-specific assets. * Work with the Domain Data Architect and Data Product Owners to translate the approved domain data product roadmap into actionable modeling deliverables. * Define the information models needed to support planned data products, use cases, releases, and AI capabilities. * Identify common entities and reusable modeling components that can serve multiple data products. * Sequence modeling work based on product priorities, source dependencies, governance readiness, and engineering needs. * Provide modeling estimates, assumptions, dependencies, risks, and decisions required for product delivery. * Participate in backlog refinement and help define modeling stories, acceptance criteria, and definitions of done. * Ensure delivered models remain aligned with the target\-state domain architecture and product portfolio. * Develop canonical models that harmonize semantically equivalent data across multiple source systems. * Define authoritative entity structures, relationships, cardinality, keys, reference data, and lifecycle states. * Establish standards for enterprise identifiers and cross\-system identity resolution. * Experience supporting pharmaceutical, biotechnology, or life sciences Development. * Knowledge of one or more Development areas such as Clinical Development, Clinical Operations, Clinical Data Management, Safety, Regulatory, or CMC. * Experience with Databricks, Unity Catalog, or comparable cloud data and metadata platforms. * Experience with data modeling tools such as ER/Studio, erwin, SAP PowerDesigner, Hackolade, or comparable solutions. * Experience with semantic modeling, controlled vocabularies, taxonomies, clinical terminologies, or knowledge graphs. * Familiarity with Genie, natural\-language analytics, semantic layers, or AI agent enablement. * Understanding of relevant clinical and regulatory data standards. "Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help” Work Location: Bengaluru, India Availability: Full time

Required Qualifications: * Bachelor’s or master’s degree in information systems, Computer Science, Data Management, Bioinformatics, Life Sciences, Engineering, or a related discipline. * Five or more years of experience in data modeling, information architecture, data architecture, analytics engineering, or enterprise data management. * Experience working with clinical and operational data, research data platforms, and pipelines * Demonstrated experience developing conceptual, logical, canonical, dimensional, semantic, and physical data models. * Strong knowledge of relational modeling, normalization, dimensional modeling, entity\-relationship modeling, and metadata management. * Experience translating complex clinical and operational requirements into reusable information models. * Experience defining entities, relationships, identifiers, hierarchies, reference data, and business rules. * Experience collaborating with architects, Product Owners, engineers, Governance Specialists, and business subject matter experts. * Strong facilitation, communication, documentation, and stakeholder\-management skills. Preferred Qualifications: Key Skills: Machine Learning Salary: Not disclosed