Internship In Computational Biology: Cvrm Genetics

Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die Position

The Computational Sciences Centre of Excellence (CS CoE) is a global organisation enabling Roche’s Research and Early Development units to develop novel therapeutics that will have an impact on patient lives. Within the CS CoE, the Computational Biology and Medicine (CBM) department focuses on furthering our understanding of disease pathogenesis, patient populations, and target biology by having access to the largest Pharma R datasets in the world. In partnership with our scientists across pRED and gRED, we create better medicines by augmenting every part of R through our data-driven culture.

The Opportunity

Within Roche Pharma Research& Early Development (pRED), the IMM& CVRM (Immunology, Cardiovascular, Renal and Metabolism) Computational Biology& Medicine group is seeking a highly-motivated Master student, dedicated to the development and application of data science tools and systems biology approaches to deepen disease insights and drive target discovery. This internship offers the most talented students the opportunity to gain valuable work experience with us.

• You will work with large-scale genomic data and produce Polygenic Risk Scores (PGS) to investigate the complex genetic architecture of chronic kidney disease (CKD) and metabolic dysfunction (i.e type 2 diabetes, obesity endotypes).
• As a member of a highly collaborative, multidisciplinary team, you will use your skills to generate significant contributions with practical impact for patients, and you will gain valuable expertise to advance your scientific career.
• You will be responsible for: building automated PGS workflows to map the complex genetic architecture of Cardio-Renal-Metabolic diseases. Defining mechanistic endotypes through patient clustering and identifying "resilient" outliers—individuals who remain healthy despite high genetic risk—to uncover protective modifiers.
• The role involves: Mining large-scale genomic, proteomics and electronic health record datasets to drive target discovery. Translating complex genetic architecture into actionable biological insights for drug development.
• You will gain experience in: high-throughput genomic analysis and advanced patient stratification at a population scale. Precision medicine methodologies and Pharmaceutical R workflows, learning how data science directly influences the selection of new therapeutic targets.
• You will develop skills in collaboration and strategy while working in a team culture that values a collaborative workplace, scientific rigor, open feedback, and scientific growth.

Who You Are

You are currently enrolled in or a recent graduate (less than a year) with a Master’s degree in Systems Biology, Life Sciences, Biotechnology, Bioengineering or related discipline.

Furthermore, you…

• Bring strong coding experience in R and proficiency in git/version control, ideally complemented by Python or experience developing R packages.
• Possess hands-on experience with genetic data analysis tools such as Plink, BCFtools, or REGENIE, and a foundational understanding of GWAS or Polygenic Risk Scores (PGS).
• Demonstrate expertise in quantitative statistics and data modeling, including regression, linear models, and hypothesis testing.
• Are familiar with (or eager to work with) large biobanks (UK Biobank), proteomics data, and computationally intensive environments like HPC clusters, Docker, or Snakemake.
• Have a strong interest in human genetics and metabolic diseases, including the curiosity to apply AI tools (e.g., Gemini, ChatGPT) to novel biological methodologies.
• Are a creative problem-solver and quick learner who remains productive when dealing with ambiguity and experimenting with new approaches.
• Act as a strong collaborator with the organizational skills and initiative needed to drive projects toward team goals.
• Communicate effectively and clearly in English, both in writing and in spoken discussion.

Application Process

• The preferred start for the internship is June 2026.
• Please upload both your CV and a motivation letter (merged in one document) along with your latest certificate of enrolment (if you are currently studying).
• Please clearly indicate your preferred starting date and duration of the internship on your motivation letter.
• Non-EU/EFTA citizens must attach a confirmation from the university to the application documents, stating that a mandatory internship is part of the education.

Ready to take the next step? We'd love to hear from you. Apply now to explore this exciting opportunity!

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.