Roche is hiring a 2027 summer intern for its CSI-Assay Bioinformatics Department. The intern will build software, visualization, analytics, machine learning, and AI-powered tools to support molecular clinical assay development and analysis of biological datasets.
Responsibilities
Designing and implementing software tools and ML/AI algorithms to support molecular clinical assay development
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
Qualification
Required
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
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 systems (RDBMS), SQL, and database querying (e.g., PostgreSQL, MySQL)
Experience or foundational knowledge in developing interactive web applications using frameworks such as Streamlit, Dash, React, or similar technologies
Proficiency in frontend web development using JavaScript/TypeScript, HTML, CSS, and frameworks such as React, Angular, Vue, or Next.js
Preferred
Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Experience with backend development frameworks (e.g., FastAPI, Flask, Django) and integrating frontend applications with REST APIs
Familiarity with DevOps practices, including Bash scripting, continuous integration and continuous deployment (CI/CD), and software deployment workflows
Experience through academic projects, coursework, or internships involving LLM API integration, AI frameworks (e.g., LangChain, LlamaIndex), or open-source and commercial AI models
Knowledge of bioinformatics, molecular biology, or biological experimental data analysis
Familiarity with machine learning concepts and experience developing or applying models for classification, regression, data analysis, or predictive modeling
Benefits
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.
Paid holiday time off benefits.
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
