Bayer Job Opening for R&D Business Data Expert DSAI – Apply Online

Bayer Job Opening for R&D Business Data Expert DSAI – Apply Online

R&D Business Data Expert – DSAI

Position Purpose

The R&D Business Data Expert will drive insight generation and business process optimization across R&D by ensuring that internally generated and externally sourced data are FAIR+Q (Findable, Accessible, Interoperable, Reusable, and of Quality).

This is accomplished through the development and implementation of key data capabilities:

  • Business Information Modeling: Connecting and defining data across domains

  • Business Data Architecture: Mapping and optimizing data flows across business processes and systems

  • Reference Data Capability: Establishing and governing standards used in models and workflows

  • Data Catalog: Providing a centralized resource to discover data assets, data models, and governance information

The role is responsible for the vision and delivery of Business Information Modeling and Business Data Architecture, working closely with teams managing Reference Data Standards and the Data Catalog. The primary domain focus is R&D, initially concentrating on Research and Preclinical areas.


Your Tasks and Responsibilities

Business Information Modeling

  • Develop and evolve conceptual, logical, and physical data models (relational, graph-based, and others) that balance design flexibility with standardization, scalability, and user needs

  • Ensure models support emerging scientific approaches, data types, AI/ML use cases, and comply with regulatory standards (FDA 21 CFR Part 11, ICH GCP, GxP)

  • Ensure metadata capture for R&D data assets aligned to data models

  • Own the capability roadmap, rollout strategy (resourcing, budgeting, delivery), communication, and adoption metrics for information modeling

Business Data Architecture

  • Define the vision and methodology for documenting data flows for priority use cases

  • Map data flow from production to consumption across R&D business processes and systems, including attributes, formats, transformations, standards, user groups, and system interactions

  • Scale methodology across additional use cases to maintain a “living document” of R&D data flows

  • Own the roadmap, rollout, communication, and adoption plan for the data architecture capability

Reference Data Standards & Data Catalog

  • Partner closely with teams managing reference data standards, metadata, and the data catalog

  • Align modeling and architecture with governance frameworks to ensure seamless operational coordination

Strategic Leadership

  • Influence without authority and collaborate in a flat-hierarchy environment

  • Advocate for data capability adoption across diverse R&D functions

  • Co-shape DSAI’s data and data science strategy

Working Relations

You will collaborate with:

  • Data producers, consumers, owners, and stewards across Research Biology, Translational Science, Drug Discovery, Preclinical Research, CMC/Pharmaceutical Sciences, Regulatory, Pharmacovigilance, etc.

  • Lab and computational scientists, clinicians, statisticians, regulatory professionals

  • Data architects, engineers, UX/UI engineers, technology/platform teams

  • External vendors, contractors, and industry forums/consortia


Who You Are

  • MS in Biological Sciences, Informatics, or Computer Science (biomedical context)

  • 15+ years of experience in data modeling (relational, object-oriented, graph-based), architecture, metadata management, and controlled vocabularies for biomedical domains

  • Deep understanding of R&D, especially early-stage and modern quantitative methods

  • Strong expertise in data governance, data quality management, data catalogs, data science, DevOps, and cloud-native environments (e.g., AWS, Databricks)

  • Proven track record delivering impactful data products and solutions for Pharma R&D, from vision to execution

  • Independent, collaborative, detail-oriented; strong project management skills; able to influence across stakeholder groups and manage ambiguity

  • Strategic thinker with excellent communication and learning agility

  • Excellent English communication skills; German proficiency (written and verbal) is preferred


Vacc Behaviours

Visionary

  • Reimagines the future and explores new possibilities

  • Co-creates holistic impact with the team

Architect

  • Places the customer at the center

  • Designs, flexes, and simplifies processes

Catalyst

  • Breaks silos and connects people

  • Encourages collaboration and learning

Coach

  • Helps the team operate in 90-day cycles

  • Builds networks that leverage collective expertise


Application Details

Location: Hyderabad, Telangana, India
Division: Pharmaceuticals
Reference Code: 855328

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