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Principal Data Innovation Specialist

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: F. Hoffmann-La Roche Gruppe
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir.

Rejoignez Roche, où chaque voix compte.

La position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation.

Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.

The Data Innovation Specialist helps identify, prototype, and scale novel methods and technologies that transform how data is used across product development. Reporting to the Data Innovation Lead, you will explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data. You will collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility.

This role requires curiosity, strong technical grounding, and a mindset oriented toward experimentation and continuous learning.

The Opportunity

In this role, you will have the chance to lead technical evolution and drive high-impact data initiatives across the organization:

  • Drive Innovation:
    Apply specialized knowledge of emerging data types, technologies, and methods to lead innovation activities and complex analytical projects.
  • Collaborative Piloting:
    Partner with cross-functional teams to pilot data innovations and integrate them into clinical development and data science workflows.
  • Platform Development:
    Drive the creation of low-/no-code analytics platforms to enable direct access to multi-modal data and elevate PD data value.
  • Strategic Evaluation:
    Proactively identify innovation areas through competitive landscaping and evaluate the feasibility and quality of unconventional data sources.
  • Framework Creation:
    Develop tools and frameworks that support the scalable evaluation, reuse, and streamlining of experimental data approaches and workflows.
  • Subject Matter Expertise:
    Serve as an expert on innovation methodology, guiding peers through new data modalities and mentoring junior team members.
  • Compliance & Governance:
    Ensure all activities maintain strict compliance with data privacy and security regulations, including HIPAA and GDPR.
Who You Are

We are looking for a visionary professional who thrives at the intersection of technology and healthcare:

  • Educational Background:
    You hold a Master’s or PhD in Computer Science, Engineering, Life Sciences, Data Science, or a related field.
  • Proven Experience:

    You bring 6+ years of experience in data science or healthcare innovation, with a track record of implementing successful AI-driven pilots or products.
  • Strategic Agility:
    You possess strong problem-solving and critical thinking skills, coupled with the ability to make independent decisions based on sound principles.
  • Innovation Mindset:
    You…
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