Research Data Modeler

Astellas-5c3299a9; Bengaluru; Híbrido; INR 1.400.000 - 2.200.000; Jornada completa

Descripción de la vacante

Astellas is seeking an experienced Research Data Modeler to design, build, and maintain scalable data models and data products for Research & Discovery. You will work with scientists, data product owners, and engineers to transform raw data into trusted assets on the Databricks Data Intelligence Platform across Astellas medallion architecture.

The role requires strong expertise in conceptual, logical, canonical, and physical data models, with a track record in relational, dimensional, graph, and

Formación

• Bachelor’s or master’s degree in Information Systems, Computer Science, Data Management, Life Sciences, or related discipline.
• Five or more years of experience in data modeling, information architecture, data architecture, analytics engineering, or enterprise data management.
• Experience with research data, platforms, and pipelines.
• Strong knowledge of relational, dimensional, and semantic data modeling and metadata management.
• Experience translating scientific requirements into reusable information models.
• Ability to collaborate with architects, product owners, engineers, governance specialists, and business experts.
• Strong facilitation, communication, documentation, and stakeholder-management skills.

Responsabilidades

• 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 entities, relationships, identifiers, hierarchies, and business rules for data products.
• Establish canonical representations across laboratories, source systems, and data products.
• Model structured, semi-structured, unstructured, and multimodal scientific data with provenance.
• Ensure models support analytics, ML, AI, knowledge graphs, and integration needs.
• Apply multiple modeling techniques based on requirements.
• Maintain separation between source-aligned and governed data models.
• Collaborate to translate roadmap into modeling deliverables.
• Define information models to support planned data products and AI capabilities.
• Identify reusable components across data products.
• Provide modeling estimates, assumptions, dependencies, risks, and decisions for delivery.
• Participate in backlog refinement and define modeling stories and acceptance criteria.
• Ensure models align with target architecture and product portfolio.
• Develop canonical models harmonizing data across sources.
• Define authoritative entity structures, keys, reference data, and lifecycle states.
• Establish standards for enterprise identifiers and cross-system identity resolution.

Conocimientos

Data modeling

Information architecture

Data architecture

Analytics engineering

Enterprise data management

Databricks

Unity Catalog

ER/Studio

erwin

Hackolade

Educación

Bachelor’s or Master’s degree in Information Systems/Computer Science/Data Management or related discipline

Herramientas

Databricks

Unity Catalog

ER/Studio

erwin

SAP PowerDesigner

Hackolade

Descripción del empleo

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

Are you driven to make a real difference in the lives of patients?

We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

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.
• 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.

Requirements

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.
• This position is based in Bengaluru GCC and will require 2 days/week on-site work.
• (OR) 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.

Our Organizational Values and Behaviors

Values: Innovation, IntegrityandImpactsit at the heart of what we do.

Behaviors: We come together as‘One Astellas’,working withcourageand a sense ofurgency. We are outcome focusedand consistently takeaccountabilityfor our personalcontribution.

Our organization is committed to diversity, equal opportunity, and affirmative action. We are an equal opportunity employer. All applicants will be considered without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity, or any other protected characteristic.

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