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Internship in Innovation & Sustainability - For students in the field of Data Science, Computer Science / Software Engineering, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning

Internship in Innovation & Sustainability - For students in the field of Data Science, Computer Science / Software Engineering, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning

Internship in Innovation & Sustainability - For students in the field of Data Science, Computer Science / Software Engineering, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning

Internship in Innovation & Sustainability - For students in the field of Data Science, Computer Science / Software Engineering, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning

Roche

Pharmazeutische Produkte, Arzneimittel

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  • Art der Beschäftigung: Studierende
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  • Zu den Ersten gehören

Internship in Innovation & Sustainability - For students in the field of Data Science, Computer Science / Software Engineering, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning

Über diesen Job

JOB DESCRIPTION

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

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

  • Develop and implement natural language processing (NLP) pipelines using efficient small language models.

  • Curate and process biomedical data to train and optimize relationship extraction models.

  • Design, construct, and validate large-scale knowledge graphs to organize complex scientific information and accelerate research discovery.

  • Build workflows for mapping and standardizing biomedical concepts and terminology.

  • Evaluate AI model performance and effectively document technical findings and insights.

  • Collaborate with an interdisciplinary team to translate methods and datasets into robust, reusable proof-of-concept tools for R&D.

Who You Are

You are enrolled or have completed your Master’s or PhD studies at a university, preferably in the field of Data Science, Computer Science, Bioinformatics / Computational Biology, or Artificial Intelligence / Machine Learning within the last 12 months and are interested in applying your knowledge in a modern working environment as part of an internship of at least 3 months.

Furthermore you are

  • 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

If you meet most but not all qualifications, we still encourage you to apply.

Additional information

The internship is expected to start between 1 and 16 July 2026 and will last at least 3 months.

For more information about IP2TIS and to explore other opportunities within the programme, please visit go.roche.com/ip2tis_26._

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

Unternehmens-Details

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Roche

Pharmazeutische Produkte, Arzneimittel

10.001 oder mehr Mitarbeitende

Basel, Schweiz

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