Summer Intern: CSI-Assay Bioinformatics & ML

6451 Roche Sequencing Solutions, Inc.; Pleasanton (CA); On-site; USD 62,000 - 72,000; Full time

Benefits offered by this job

Paid holiday time off

Job summary

Roche in Pleasanton, CA seeks a 2027 Summer Intern for the CSI-Assay Bioinformatics team. The role focuses on software development, data visualization, analytics, and machine learning within a clinical diagnostics context. The position is a paid, intensive 12-week internship with May/June start dates.

You will work on scalable data applications, AI-driven tools, and interactive visualizations, collaborating with bioinformaticians and wet-lab scientists to deliver impactful, real-world outcomes.

Qualifications

• Pursuing or having completed a Bachelor's or Master's degree in CS/BI/DB
• Foundational Python programming and Git version control
• Knowledge of LLMs, prompt engineering, or RAG concepts
• Experience with SQL databases and data querying
• Experience building interactive web apps with Streamlit/Dash/React

Responsibilities

• Develop scalable scientific data applications with best practices
• Create dynamic visualizations (scatter plots, heatmaps) for data exploration
• Build data processing pipelines and analytics tools
• Experiment with ML approaches for pattern recognition and predictive modeling
• Explore integration of LLMs for intelligent data querying and reporting

Skills

Python

LLMs

SQL

Streamlit

Dash

React

JavaScript

TypeScript

HTML

CSS

Education

Bachelor's degree in Computer Science / Bioinformatics / Computational Biology / Data Science

Tools

PostgreSQL

MySQL

Git

FastAPI / Flask / Django

LangChain / LlamaIndex

AI frameworks

React ecosystem

Job description

Roche in Pleasanton, CA seeks a 2027 Summer Intern for the CSI-Assay Bioinformatics team. The role focuses on software development, data visualization, analytics, and machine learning within a clinical diagnostics context. The position is a paid, intensive 12-week internship with May/June start dates.

You will work on scalable data applications, AI-driven tools, and interactive visualizations, collaborating with bioinformaticians and wet-lab scientists to deliver impactful, real-world outcomes.