AI-Driven Scientific Content Data Strategist

F. Hoffmann-La Roche AG

Basel

Vor Ort

CHF 120.000 - 160.000

Vollzeit

14 Tage+

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Zusammenfassung

Roche is seeking a Scientific Content Data Expert to bridge traditional publishing with AI‑driven research. You will manage STM data contracts, negotiate licenses, and collaborate with data engineers, product owners, and learning experts to shape a data‑driven content portfolio.

You will ensure compliance with vendor agreements and AI‑usage restrictions while translating business needs into practical data solutions for a pharma environment.

Qualifikationen

  • University degree with ~3–5 years of experience in related fields.
  • Experience in corporate pharma, healthcare or life sciences preferable.
  • Experience evaluating and negotiating complex electronic content agreements.
  • Understanding of AI-ready data, data governance and content licensing.

Aufgaben

  • Portfolio Management: optimize STM vendor portfolio and access to literature.
  • Procurement & Negotiation: lead end-to-end acquisition with complex licenses and AI rights.
  • Cross-Functional Collaboration: align with data engineers, product owners and learning experts.
  • Compliance Tracking: monitor data usage against contracts and copyright laws.
  • Data‑Driven Development: analyze usage and market trends for portfolio strategy.
  • Stakeholder Management: liaise between publishers and internal business partners.

Kenntnisse

Data management concepts
Cross-functional collaboration
Stakeholder management
AI-ready data products
Business English

Ausbildung

Bachelor’s or higher in Information Science / Library Science / Data Management or equivalent

Jobbeschreibung

Roche is seeking a Scientific Content Data Expert to bridge traditional publishing with AI‑driven research. You will manage STM data contracts, negotiate licenses, and collaborate with data engineers, product owners, and learning experts to shape a data‑driven content portfolio.

You will ensure compliance with vendor agreements and AI‑usage restrictions while translating business needs into practical data solutions for a pharma environment.

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