2025 Summer Intern - Computational Sciences - Computational Biology and Translation, Digital Pathology

2025 Summer Intern - Computational Sciences - Computational Biology and Translation, Digital Pathology

Department Summary

We seek a motivated research intern to join the digital pathology group of the gCS Computational Biology and Translation (CBT) team within Genentech's Research and Early Development (gRED) organization. Our team develops tissue based image analysis methods to extract disease biology insights, understand a drug's mechanism of action on histopathology and support translational biomarker research programs for Genentech's oncology pipeline. The successful candidate will work closely with a team of imaging AI scientists, computational biologists and pathologists to develop and implement advanced AI algorithms to identify novel imaging-based biomarkers using digitized H&E and IHC-stained whole slide images.

This internship position is located in South San Francisco, on site.

The Opportunity

• Design, build and validate state-of-the-art digital pathology based AI models using clinical trial pathology imaging datasets to develop predictive biomarkers in oncology.

• Document project progress, effectively summarize and present research findings in internal meetings.

• Participate and thrive in an interactive, collaborative, and team-oriented culture.

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 have attained a Master's degree.

• Must be pursuing a PhD (enrolled student).

Required majors: Biomedical Engineering, Computer Science, Bioinformatics, Applied Mathematics, Statistics or related discipline

Required skills

• Proficiency in machine learning, deep learning, computer vision and image analysis concepts.

• Proficiency in python programming to implement machine learning and deep learning libraries (such as Scikit-learn, OpenCV, Scikit-Image, PyTorch).

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

• Proficiency in bioinformatics tools such as survival analysis and RNA sequencing is a strong plus.

• Prior experience with analysis of large complex pathology datasets (such as TCGA, tissue repositories with whole slide images) for machine learning applications is preferred.

• At least one peer-reviewed first author publication/abstract ideally in digital pathology or oncology related journals/conferences (such as MICCAI, AACR, ASCO, USCAP, SPIE, SITC) is preferred.

• Familiarity with or willingness to learn best practices for code development and maintenance, using Git for version control.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $50.00 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.

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