Internship IP2TIS 2025 - For students in the field of Computer Science / Data Science / AI / GenAI

Kaiseraugst FHLR, Switzerland

Roche

As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.

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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

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.

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?

The Opportunity

Join Roche’s Global Internship Program in Innovation & Sustainability (#IP2TIS) and be a part of a transformative project that focuses on analyzing bias in Large Language Models (LLMs). Here’s what you can expect:

Project Impact: Contribute to Roche’s ambitions by analyzing and addressing biases in LLMs to ensure they are fair and unbiased. Help drive the development of ethical AI systems within Roche’s Responsible AI team.

Core Project Work: Design a statistically sound bias evaluation framework, investigate various types of biases in different types of LLMs, design and implement methods to mitigate these biases (e.g. prompt engineering tips) and develop actionable guidelines for ethical AI use.

Key Responsibilities:

  • Collaborate with data scientists and cloud engineers to identify and mitigate bias in different LLMs.

  • Contribute to the work of the Responsible AI team at Roche, in particular to our Model Evaluation Framework, that also looks at performance, toxicity and sustainability of LLMs.

  • Contribute to the development of actionable guidelines for ethical AI use

  • Contribute to building a decision tree to guide the selection of the best model for a specific type of use case

  • Present findings and recommendations across different teams at Roche, technical and non-technical

Learning & Growth: Gain hands-on experience in GenAI and LLMs, in particular on the Responsible 

AI/Ethics landscape. Benefit from mentorship and the opportunity to make a real-world impact.

Who You Are

You are enrolled or have completed your Bachelor’s or Master’s studies at a university, preferably in fields such as data science, AI/Gen AI,  computer science or related areas 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 and getting to know the pharmaceutical industry.

Furthermore you are

We expect the following requirements: 

  • Hands-on experience with GenAI required, additional experience with traditional NLP and classical Machine Learning algorithms preferred

  • Advanced knowledge of Python

  • Hands-on experience with cloud solutions (AWS and/or Azure)

  • Passion for Ethical AI and Responsible AI

  • Some experience with topics related to explainability, fairness and bias, performance assessment, greenAI are valuable

  • Hands-on experience with prompt engineering

  • Understanding of GenAI evaluation techniques

  • Strong background in statistics

  • Feature engineering & data preprocessing skills

  • Problem solving: excellent analytical skills and the ability to tackle complex challenges with innovative solutions

  • Communication: strong verbal and written communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences

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

Technical details:

The start date for the internship is between 1st and 16th of July 2025

More information about the program you can find on go.roche.com/ip2tis_25.

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 Kaiseraugst is a cornerstone of Roche's global production and logistics network. It employs some 1900 people out of the 10,700 employees at our Basel/Kaiseraugst site and is Roche's largest and most innovative packaging facility worldwide. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

Roche is an Equal Opportunity Employer.

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Tags: AWS Azure Computer Science Engineering Feature engineering Generative AI LLMs Machine Learning NLP Pharma Prompt engineering Python Responsible AI Statistics

Perks/benefits: Career development Flex hours Medical leave Startup environment Team events

Region: Europe
Country: Switzerland

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