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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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Internship in Innovation & Sustainability

Roche
Found 1 week ago
Location
Kaiseraugst, Switzerland
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Generative AI
  • LLMs
  • prompt engineering
  • RAG
  • agent-based systems
  • software development tools
  • APIs
  • chatbot or AI application frameworks
  • AI security risks
  • MLOps

Soft Skills

  • clear communicator
  • structured and analytical mindset
  • Collaborative
  • curious
  • detail-oriented
  • able to work independently
  • strong sense of ownership

Job Description

Our Global Internship Programme in Innovation & Sustainability (#IP2TIS) offers a unique opportunity for passionate individuals to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world. Are you ready to join a global network spanning 20+ countries, where bright minds collaborate to tackle real-world challenges in Innovation & Sustainability? Do you want to work on impactful projects, shape the future, and drive change from within? In this internship, you will help translate Roche’s Responsible AI principles into practical guidance for AI teams, with a strong focus on generative AI and agentic systems. You will contribute to a project that turns high-level risk frameworks into actionable tools that data scientists, engineers, and AI product teams can use in their day-to-day work. Over the first three months, you are expected to help create a practical Responsible AI playbook, support the development of a prototype guidance chatbot, and shape recommendations for scaling this guidance across Roche. The project contributes especially to Access to Innovation by enabling trustworthy and responsible AI adoption in healthcare, and to Environment by integrating sustainable AI practices such as model efficiency and resource optimization. This is an exciting opportunity to gain hands-on experience at the intersection of Responsible AI, sustainability, and real-world product development in a global healthcare company.

Requirements

  • Proficient in Python
  • familiar with AI/ML libraries such as PyTorch, TensorFlow, or scikit-learn
  • solid understanding of model evaluation, performance metrics, and AI/ML limitations
  • Familiar with Generative AI and LLMs
  • including areas such as prompt engineering, RAG, agent-based systems, software development tools, APIs, testing, and chatbot or AI application frameworks
  • Knowledgeable about Responsible AI concepts such as bias, fairness, explainability, governance, and ideally AI security risks, AI governance frameworks, MLOps, or sustainable AI practices
  • clear communicator with a structured and analytical mindset who can translate theory into practical solutions
  • Collaborative, curious, detail-oriented
  • able to work independently with a strong sense of ownership
  • English proficiency is a must

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • AI/ML libraries
  • Responsible AI concepts
  • bias
  • fairness
  • explainability
  • governance
  • AI governance frameworks
  • sustainable AI practices
▶Apply Now

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