2027 Summer Intern - Translational Safety (Computational Toxicology)
Roche
Summary
The Computational Toxicology group is seeking a motivated summer intern to develop and apply computational approaches to biological questions in target safety research. The project will use single-cell transcriptomic and multi-omics data, alongside AI/ML methods, to investigate biological systems relevant to preclinical safety assessment.
Job description
The Opportunity
The Computational Toxicology group is seeking a motivated summer intern to develop and apply computational approaches to biological questions in target safety research. The project will use single-cell transcriptomic and multi-omics data, alongside AI/ML methods, to investigate biological systems relevant to preclinical safety assessment.
- Develop reproducible computational workflows to integrate and analyze single-cell transcriptomic and multi-omics datasets.
- Characterize in vitro models and assess their biological relevance through quantitative analyses and comparisons with reference datasets.
- Explore and benchmark AI/ML methods, including foundation models, for analyzing high-dimensional biological data.
- Collaborate with computational and experimental scientists to interpret findings and contribute to reusable analysis tools, including LLM-based or agentic workflows where appropriate.
Program Highlights
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- Program start dates are in May/June (Summer).
- A stipend, based on location, will be provided to help alleviate costs associated with the internship.
- Ownership of challenging and impactful business-critical projects.
- Work with some of the most talented people in the biotechnology industry.
Requirements
- Must be pursuing a Master's Degree (enrolled student), have attained a Master's Degree, or be pursuing a PhD (enrolled student)
- Required Majors: Bioinformatics, Computational Biology, Bioengineering, Computer Science, Data Science, Statistics, Machine Learning & AI, or related fields
- Experience with Python or R for scientific data analysis and computational workflows
- Familiarity with biological datasets (e.g., gene expression or other omics data) and associated sample and experimental metadata
- Ability to explore, quality-check, analyze, and interpret complex biological datasets
- Ability to document methods and maintain reproducible analyses using version control tools
- Strong problem-solving, communication, and teamwork skills
- Familiarity with single-cell RNA-seq concepts and analysis tools (e.g., Scanpy/AnnData, Seurat, or scVI)
- Experience with differential expression, pathway analysis, or comparative transcriptomics across biological models
- Interest in machine learning, representation learning, or foundation-model applications to biological data analysis
- Familiarity with LLM-based tools and agentic workflows for scientific research
Benefits
- Paid Holiday Time Off
- Stipend
Company overview
Roche is a Swiss multinational healthcare company and a global pioneer in pharmaceuticals and diagnostics, founded in 1896 and headquartered in Basel, Switzerland. As the world's largest biotech company and the fifth-largest pharmaceutical company by revenue, Roche operates through two primary divisions: Pharmaceuticals and Diagnostics. The company is renowned for its leadership in personalized healthcare, combining strengths in both drug development and diagnostic testing to deliver tailored treatments for patients. Roche maintains a strong focus on oncology, immunology, infectious diseases, ophthalmology, and central nervous system disorders, with a portfolio that includes over 30 medicines on the World Health Organization's Model Lists of Essential Medicines. The company owns significant subsidiaries including Genentech, Chugai Pharmaceuticals, Ventana Medical Systems, and Foundation Medicine. With approximately 103,000 employees worldwide and operations in over 100 countries, Roche has established itself as a leader in cancer treatments globally while maintaining a robust pipeline of innovative therapies and diagnostic solutions. The company's commitment to sustainability has been recognized through ten consecutive years as Group Leader in the Dow Jones Sustainability Indices within the Pharmaceuticals, Biotechnology & Life Sciences Industry.