Summer Intern - CSI-Assay Bioinformatics

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.

We advance science so that we all have more time with the people we love.

The CSI-Assay Bioinformatics Department is committed to advancing healthcare and biotechnology through the development of innovative bioinformatics solutions. The department plays a pivotal role in clinical diagnostics and molecular assay development, with a focus on creating cutting‑edge tools that make a global impact on patient care. Key responsibilities include designing and implementing software tools and ML/AI algorithms to support molecular clinical assay development.

The team works collaboratively with multidisciplinary experts, including bioinformaticians and wet‑lab scientists, to deliver state‑of‑the‑art algorithms and tools that drive transformative solutions, advancing biotechnology and enhancing patient outcomes.

This internship position is located in Pleasanton, on‑site.

• Software Development and Optimization:
  Apply software engineering best practices, object-oriented programming, version control, and performance optimization to build scalable, maintainable, and efficient scientific data applications.
• Interactive Data Visualization:
  Develop dynamic scientific visualizations, including scatter plots, heatmaps, and comparative charts, to facilitate data exploration, comparative analysis, and interpretation of complex biological datasets.
• Advanced Data Analytics and Automation:
  Develop computational tools, statistical workflows, and automated data processing pipelines to analyze experimental datasets, identify trends, and generate actionable scientific insights.
• Machine Learning and Predictive Modeling:
  Explore, develop, and evaluate machine learning approaches for pattern recognition, predictive modeling, and data-driven scientific decision‑making.
• AI-Powered Scientific Applications:
  Explore and integrate large language models (LLMs) and AI‑driven tools to enable intelligent database querying, natural‑language data exploration, automated analysis, and scientific reporting.

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.

You meet one of the following criteria:
Must be pursuing a Bachelor's Degree (enrolled student). Must have attained a Bachelor's Degree (not currently enrolled in a graduate program). Must be pursuing a Master's Degree (enrolled student). Must have attained a Master's Degree.

Required Majors:
Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, Software Engineering, or related disciplines.

Foundational proficiency in Python programming and software development best practices, including modular programming and version control using Git. Understanding of large language models (LLMs) and generative AI concepts, including prompt engineering, agentic workflows, or retrieval‑augmented generation (RAG). Knowledge of relational database management…