2027 Summer Intern - CSI-Assay Bioinformatics
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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 .
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 33 comparable Intern/Fellow/Postdoc Biostatistics & Data Science roles across 14 biopharma companies.
Salary context
12 of 33 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 33 comparable roles
Seniority mix
33 of 33 peers have a known seniority level
Therapeutic area mix
3 of 33 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.