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

Roche-posted 12 days ago
$50 - $50/Yr
Full-time • Intern
Onsite • Santa Clara, CA
5,001-10,000 employees
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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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • paid holiday time off benefits
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