Job highlights

- This position is based in Bengaluru GCC and will require 2 days / week on-site work. . At Astellas we recognize the importance of work / life balance,and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home

- Experience with Databricks,Unity Catalog,or comparable cloud data and metadata platforms.

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 research 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 scientific 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

- Experience supporting pharmaceutical, biotechnology, or life sciences Research and Discovery.

- Knowledge of one or more Research areas such as discovery biology, target biology, medicinal chemistry, compound and assay data, translational science, or preclinical research.

- 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 scientific ontologies, knowledge graphs,



controlled vocabularies, taxonomies, or semantic modeling.

- Familiarity with Genie, natural-language analytics, semantic layers, or AI agent enablement.

- Familiarity with FAIR data principles and scientific data provenance.

Working Environment

- This position is based in Bengaluru GCC and will require 2 days/week in office work.

- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines. Global collaboration and limited travel may be required.

Purpose and Scope

- We are seeking an experienced Research 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 Research scientists, Data Product Owners, Domain Data Architects, 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 medallion architecture.

- The successful candidate will combine strong data modeling expertise with knowledge of pharmaceutical Research and Discovery data and an ability to facilitate alignment among scientific, business, governance, architecture, engineering,



and AI stakeholders.

Responsibilities and Accountabilities

- Design and maintain conceptual, canonical, logical, semantic, and physical data models for Research and Discovery data products.

- Translate scientific, experimental, and business requirements into reusable enterprise information models.

- Define core Research entities, attributes, identifiers, relationships, hierarchies, experimental context, events, and scientific business rules.

- Establish canonical representations across laboratories, research sites, source systems, external providers, and data products.

- Model structured, semi-structured, unstructured, and multimodal scientific data while preserving provenance and experimental context.

- Ensure models support scientific analysis, advanced analytics, machine learning, generative AI, knowledge graphs, and application integration.

- Apply relational, dimensional, graph, document, event-based, and other modeling techniques based on scientific 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Research Data Modeler (Bengaluru)
🏢 ADP
📍 Bengaluru