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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.
Prescient Design part of Genentechs Research and Early Development (gRED) is applying cuttingedge machine learning to reimagine how biologic drugs are discovered and engineered. Within the Large Molecule Drug Discovery (LMDD) team we focus on developing nextgeneration 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.
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.
You are an enrolled university student in your Masters programme in Bioinformatics Computational Biology Computer Science Statistics Applied Mathematics Physics related technical field or alternatively have pursued your Masters 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 handson 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.
A Current CV and a Motivation Letterwith a desired start date
A certificate of enrolment (if you are currently studying). If you want to use this opportunity to do a Masters or Diploma thesis please highlight this in your application
Due to regulations nonEU/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.
Excellent communication collaboration and interpersonal skills.
Complements our culture and the standards that guide our daily behaviour & decisions: Integrity Courage and Passion.
Start date: 1 July 2025 (earliest) or upon availability
Duration: 6 months fulltime (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 100000 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 lifechanging healthcare solutions that make a global impact.
Lets build a healthier future together.
Roche is an Equal Opportunity Employer.
Required Experience:
Intern
Full-Time