2026 Summer Intern - Computational Biology and Medicine
About The Position
The Center for Excellence for Computational Sciences at Roche/Genentech is a data-driven organization focused on transforming how targets and therapeutics are discovered and developed. Within this division, the Computational Biology and Medicine (CBM) department analyzes biological and clinical data to advance the drug development pipeline. The successful candidate will collaborate with computational biologists in the CBM Neuroscience and Translational Medicine groups to analyze proteomic data from three multiple sclerosis clinical trials and develop an R Shiny application to support data sharing and data-driven decisions across early- and late-stage MS programs. This internship position is located in SSF or remote (USA only).
Requirements
- Must be pursuing a Master's Degree or PhD (enrolled student, PhD preferred).
- Bioinformatics, Computational biology, Statistics, Computer Science
- Strong proficiency in R and experience building R Shiny applications for data visualization and exploration.
- Demonstrated ability to work with large, multi-modal biological datasets, including data cleaning, harmonization, and structuring for analysis.
- Solid understanding of statistical modeling and common analytical methods (e.g., correlation analysis, survival analysis, treatment-effect estimation).
- Familiarity with proteomics or other high-dimensional omics data types.
- Ability to communicate technical findings clearly and collaborate effectively with cross-functional scientific teams.
Nice To Haves
- Experience integrating or visualizing single-cell or single-nucleus RNA-seq datasets
- Background in neuroscience, immunology, or related biomedical fields.
- Experience with interactive dashboard design, UX considerations, or front-end visualization libraries.
- Excellent communication, collaboration, and interpersonal skills.
- Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Responsibilities
- Build a unified proteomics integration framework that harmonizes data across clinical studies and measurement platforms.
- Build and deploy an interactive R Shiny application that enables cross-study querying, visualization, and exploration of proteomic biomarkers.
- Create standardized data structures to support scalable cross-trial analysis and future expansion of the platform as new clinical datasets become available.
- Develop dynamic visualization modules, including expression patterns, clinical and imaging correlations, treatment-effect summaries, and survival analyses.
- Integrate proteomic insights with internally generated single-cell and single-nucleus RNA-seq atlases to support biological interpretation and target or biomarker discovery.
Benefits
- 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.
- This position also qualifies for paid holiday time off benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
