Computational Biology Internship at Roche Switzerland
Looking to launch your career in cutting-edge life sciences? This Computational Biology Internship offers a rare opportunity to work at the intersection of bioinformatics, machine learning, and translational research. If you’re searching for an internship in Switzerland with global impact, this role at Roche provides hands-on exposure to real-world data, innovative workflows, and breakthrough discoveries—making it an ideal internship opportunity for life science graduates.
About Roche
Roche fosters an inclusive environment where individuals are encouraged to be themselves and are valued for their unique qualities. The organization promotes open dialogue, personal expression, and meaningful connections, enabling employees to thrive both personally and professionally. Roche is committed to preventing, stopping, and curing diseases while ensuring access to healthcare for current and future generations.
Internship Details
- Internship Title: Agentic Workflows for Single-Cell RNA-seq Based Target Discovery Internship
- Location: Basel or Zurich, Switzerland
- Category: Vocational & Development Programs
- Job ID: 202603-107327
- Duration: 6 months
The Position
The internship is a 6-month opportunity based in Basel or Zurich, Switzerland, within the Computational Sciences Center of Excellence (CS CoE). The intern will contribute to advancing research automation processes and developing agentic workflows that support oncology target identification.
The role focuses on identifying gaps within the data and analysis ecosystem by collaborating with computational scientists. The intern will evaluate agentic workflows against existing tools and expert outputs, and work with machine learning researchers and data experts to address identified gaps. This may include integrating new datasets, improving models, or developing complementary workflows.
As part of the Computational Biology and Medicine (CBM) team, the intern will collaborate with experts in computational biology, machine learning, and data engineering, contributing to translational science and healthcare innovation.
The Computational Biology Internship Opportunity
- Contribute to shaping target identification and assessment methodologies.
- Evaluate and benchmark agentic analysis workflows against alternative tools and expert analyses.
- Assess whether advanced workflows should be accessible to stakeholders or require expert supervision.
- Identify, prioritize, and address gaps in automation processes related to target identification.
- Collaborate with computational biologists and data scientists to align automation solutions with stakeholder needs.
- Work with machine learning researchers and data engineers to enhance the data ecosystem and automation capabilities.
Candidate Profile (Who You Are?)
- Currently enrolled in a Master’s degree program in a relevant field such as Computational Biology or Bioinformatics.
- Practical experience in single-cell RNA-seq analysis, including preprocessing techniques.
- Experience in systematically comparing tools or methodologies.
- Strong programming skills in Python and/or R, with experience handling large-scale datasets.
- Familiarity with collaborative workflows, including Git, CI/CD pipelines, code review processes, and reproducible analysis practices.
- Strong communication skills with an interest in interdisciplinary collaboration.
- Proficiency in English (spoken and written).
Application Process for Computational Biology Internship
Applicants are required to submit:
- A cover letter outlining interest and qualifications
- A CV (optionally including references and relevant publications)
For non-EU/EFTA students, proof of current university enrollment covering the internship duration and confirmation that the internship is a mandatory component of the curriculum must be provided.
