Master’s Thesis Internship – Machine Learning for Antibody Discovery from Sequencing Data (1 July 2025, 6 months, Basel)

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. 

About Us
 

Prescient Design, part of Genentech’s Research and Early Development (gRED), is applying cutting-edge machine learning to reimagine how biologic drugs are discovered and engineered. Within the Large Molecule Drug Discovery (LMDD) team, we focus on developing next-generation therapeutics, particularly therapeutic antibodies, by combining deep biological expertise with innovative computational methods.

Our team leverages machine learning to analyse extensive sequence data, uncovering valuable insights that drive the creation of potent molecules. We are seeking motivated individuals to join us in this endeavor. If you are enthusiastic about using machine learning for antibody discovery and sequencing data analysis, we encourage you to explore this opportunity.

The Opportunity: 

• You will develop methods inspired by language models and unsupervised learning to deliver robust, generalizable solutions.

• You will collaborate closely with our team in Basel, New York, and San Francisco.

• You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.

Who You are:

• You are an enrolled university student in your Master's programme in Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, related technical field, or alternatively have pursued your Master's degree not longer than 12 months prior to the start date. 

• Good knowledge of machine learning fundamentals. Familiarity with language models, causal representation learning and unsupervised learning would be helpful. Experience with ML on biological data is desired

• Detailed hands-on experience on building and training neural networks - experience with at least one DL framework (preferably Pytorch), keen to build unconventional models, a knack for getting things to work.   

Your complete application includes the following documents:

• A Current CV and a Motivation Letter with a desired start date

• A certificate of enrolment (if you are currently studying). If you want to use this opportunity to do a Master’s or Diploma thesis, please highlight this in your application

•  Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university program for the whole duration of this internship.

Preferred Knowledge, Skills, and Qualifications:

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behaviour & decisions: Integrity, Courage, and Passion.

Program Highlights:

• Start date: 1 July 2025 (earliest), or upon availability

• Duration: 6 months, full-time (40 hours/ week)

• Location: Basel

• Work with some of the most talented people in the biotechnology industry.

If you are proud of contributing and feel you have the dedication to teamwork and innovation that we are seeking, then Roche is the organization for you. Every role at Roche plays a part in making a difference to patients’ lives. If you want to work in a passionate team, make your mark & improve lives, apply now!

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.