2027 Summer Intern, CSI-Assay Bioinformatics

About the Role

The CSI-Assay Bioinformatics Department is focused on developing innovative bioinformatics solutions for clinical diagnostics and molecular assay development. This internship is an opportunity to contribute to cutting-edge tools with a global impact on patient care.

Key Responsibilities

• Design and implement software tools and ML/AI algorithms to support molecular clinical assay development.
• Apply software engineering best practices, including object-oriented programming, version control, and performance optimization to build scalable, maintainable, and efficient scientific data applications.
• Develop dynamic scientific visualizations, such as scatter plots, heatmaps, and comparative charts, for data exploration and interpretation.
• Create computational tools, statistical workflows, and automated data processing pipelines for analyzing experimental datasets.
• Explore, develop, and evaluate machine learning approaches for pattern recognition and predictive modeling.
• Explore and integrate large language models (LLMs) and AI-driven tools for database querying, data exploration, analysis, and reporting.

Requirements & Tech Stack

• Foundational proficiency in Python programming.
• Understanding of 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.
• Proficiency in frontend web development using JavaScript/TypeScript, HTML, CSS, and frameworks such as React, Angular, Vue, or Next.js.

Preferred Knowledge, Skills, And Qualifications

• Experience with backend development frameworks (e.g., FastAPI, Flask, Django) and integrating frontend applications with REST APIs.
• Familiarity with DevOps practices, including Bash scripting, CI/CD, and software deployment workflows.
• Experience with LLM API integration, AI frameworks (e.g., LangChain, LlamaIndex), or 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.

Qualifications

• Must be pursuing a Bachelor's Degree (enrolled student) OR
• Must have attained a Bachelor's Degree (not currently enrolled in a graduate program) OR
• Must be pursuing a Master's Degree (enrolled student) OR
• Must have attained a Master's Degree.
• Majors: Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, Software Engineering, or related disciplines.
• Excellent communication, collaboration, and interpersonal skills.

This is an on-site internship in Pleasanton.

The internship is an intensive 12-weeks, full-time (40 hours per week) paid program.

Program start dates are in May/June (Summer).

A stipend will be provided.

This position qualifies for paid holiday time off benefits.