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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open 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
  • Pandas
  • NumPy
  • Hugging Face Transformers
  • fine-tuning language models
  • PyTorch
  • TensorFlow
  • knowledge graphs
  • biomedical datasets
  • medical ontologies
  • Git
  • NLP

Soft Skills

  • analytical
  • proactive
  • detail-oriented communicator

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? As an intern, you will contribute to a project focused on building an automated biomedical knowledge graph to accelerate research and development discovery. The project aims to improve scientific knowledge access by using efficient small language models to extract structured relationships from biomedical literature, reducing reliance on more energy-intensive approaches while improving interpretability and completeness. Within your first 3 months, you are expected to help implement a fine-tuning pipeline for a small language model, develop an entity resolution workflow, build a large-scale knowledge graph from a disease-relevant abstract corpus, and contribute to a performance report and integration demo. Your work will support faster evidence synthesis, more systematic discovery of research insights, and more sustainable AI usage in R&D. This internship offers the opportunity to work at the intersection of NLP, biomedical data, and drug discovery with direct impact on future innovation.

Requirements

  • Proficient in Python, especially for data manipulation with tools such as Pandas and NumPy
  • Experienced with Hugging Face Transformers, fine-tuning language models, and frameworks such as PyTorch or TensorFlow
  • Familiar with knowledge graphs; experience with biomedical datasets and medical ontologies is an advantage
  • Comfortable using Git and writing clean, documented, and reusable code
  • An analytical, proactive, and detail-oriented communicator with strong English skills

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • experience with biomedical datasets and medical ontologies
▶Apply Now

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