2026 Summer Intern - Roche Diagnostic Solution (RDS), Computational Science and Informatics (CSI), Pathology Lab Solution

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

2026 Summer Intern - Roche Diagnostic Solution (RDS), Computational Science and Informatics (CSI),  Pathology Lab Solution

We advance science so that we all have more time with the people we love.

Department Summary

The Computational Science and Informatics Pathology Lab Solutions Chapter is a dynamic, interdisciplinary team dedicated to revolutionizing pathology through AI-driven innovations that enhance cancer diagnostics and patient care. We are seeking a summer intern to help with the design, development, and optimization of cutting-edge algorithms for histopathology image analysis alongside a talented team of imaging scientists and software engineers, fostering a collaborative environment with other interns from analytics teams across the organization. This is a unique opportunity to shape the future of digital pathology by leveraging AI and computational science to advance medical diagnostics. 

This internship position is located in Santa Clara, on-site.

The Opportunity

• Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis, particularly with deep-learning and machine-learning approaches.

• Devise, implement and interpret deep learning algorithms to address selected research questions in digital pathology.

• Proactively share learnings and knowledge to support the development of the wider Roche community.

• Help shape the direction of machine learning and artificial intelligence within Roche.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.

• Program start dates are in  May/June 2026.

• 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 Education

You meet one of the following criteria:

• Must be pursuing a Master's Degree (enrolled student).

• Must have attained a Master's Degree.

• Must be pursuing a PhD (enrolled student).

Required Majors: Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field.

Required Skills: 

• In-depth knowledge of machine learning and deep learning.

• Fluency in one or more programming languages, preferentially, in Python, and one or more deep learning frameworks.

• Experience applying machine learning algorithms and techniques to imaging data, preferably to biomedical imaging data.

• Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (parallelization, HPC cluster computing).

• Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming.

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.

• Passion and self-motivation of machine learning applications to healthcare.

• Experience with large language model (LLM), sequencing data analysis, multimodal analysis or GAN (Generative Adversarial Network) / Diffusion Model,  is a big plus.

• Publications in top conferences (biomedical image analysis or computer vision) or journals.

• Contributions to open source packages, libraries or functions.