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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
  • SAP
  • data visualization tools
  • Tableau
  • Power BI
  • NLP
  • biomedical data
  • drug discovery

Soft Skills

  • Data Science
  • Environmental Engineering
  • Circular Economy
  • Business Informatics
  • Computer Science
  • Bioinformatics / Computational Biology
  • Artificial Intelligence / Machine Learning
  • analyze complex datasets
  • turn findings into clear business recommendations
  • working independently
  • navigating technical data sources

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. The Opportunity * Analyze the top 10 most frequently used plastics and composite materials within a defined pilot area * Extract and integrate relevant data from SAP and ECHA sources to identify key disposal cost drivers * Develop an interactive dashboard MVP that visualizes the relationship between material choice, CO2 footprint, and end-of-life costs * Evaluate the design-for-recycling status of existing product components * Identify and assess alternative materials that could improve the SHE score while reducing disposal expenses * Support the creation of a recommendation roadmap for Procurement to facilitate the transition to more circular alternatives * Translate complex technical and sustainability data into practical insights for business decision-making * Collaborate with relevant stakeholders in Product Stewardship and related functions to support the pilot use case

Requirements

  • Proficient in data visualization tools such as Tableau or Power BI and have experience with Python
  • Familiar with SAP data structures and have a solid understanding of circular economy principles
  • Able to analyze complex datasets and turn findings into clear business recommendations
  • Comfortable working independently and navigating technical data sources
  • Fluent in English and German

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English
  • German

Nice to Haves

  • Master’s studies
  • PhD studies
  • circular economy principles
▶Apply Now

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