2027 Summer Intern - CSI-Assay Bioinformatics
Roche is hiring a 2027 Summer Intern - CSI-Assay Bioinformatics. It pays $45-$52/hr and Level rates it ; you can apply on Roche.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include LangChain, LlamaIndex and prompt engineering.
- Level classifies it as an internship.
- Level lists 1,200+ other open roles at Roche.
- The role was posted in the last few days.
AI in this role
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.
The Position
2027 Summer Intern - CSI-Assay Bioinformatics
We advance science so that we all have more time with the people we love.
Department Summary
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.
The Opportunity
- 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.
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.
Who You Are (Required)
Required Education
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.
Required Skills:
- 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 Knowledge, Skills, and Qualifications
- 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.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $45.00-$52.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
How we rate this
2027 Summer Intern - CSI-Assay Bioinformatics at Roche rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LlamaIndex in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, LangChain, and LlamaIndex. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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