Data Modeling Expert
@ Roche

Welwyn, England, United Kingdom
$150,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @roche.com
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Job Details

About Roche

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are.

The Position

A healthier future is at the core of our innovations. Advances in AI, data, and computational sciences are transforming drug discovery and development at Roche. Within the newly formed Computational Sciences Center of Excellence (CoE), as a Data Modeling Expert you will be a key contributor on the Data Connectivity team, ensuring our data are FAIR (Findable, Accessible, Interoperable, and Reusable) and of high quality for scientists across research and development.

  • Act as a subject matter expert on data modeling, ontologies, and standards.
  • Translate complex scientific requirements into clear draft data models.
  • Drive data governance, quality tracking, and FAIR data processes.
  • Contribute to AI/data readiness strategies and data policy efforts.
  • Foster a OneRoche data-centric mindset across teams.

Who You Are

You hold a Master's degree or higher in a scientific or technical field and have experience in Data Governance, Data Standards, Data Modeling, or Ontology Development. You are proficient in critical data domains and can lead initiatives within a matrixed organization, particularly within Research & Development.

Key Skills/Competency

  • Data Modeling
  • Ontologies
  • Semantics
  • Data Governance
  • FAIR
  • AI Readiness
  • Research
  • Standards
  • Data Quality
  • Computational Sciences

How to Get Hired at Roche

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data modeling and governance experience.
  • Research Roche: Understand their data initiatives and mission.
  • Showcase projects: Emphasize FAIR data and ontology development.
  • Network effectively: Engage with Roche employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review data modeling frameworks.
Study data governance best practices.
Practice ontology and semantics design.
Upgrade skills in AI and FAIR data principles.

Behavioral Questions

Describe collaborative work in matrix organizations.
Explain handling complex scientific requirements.
Discuss leadership in cross-functional teams.
Illustrate problem solving in data challenges.

Frequently Asked Questions