2025 Summer Intern - Translational Safety (roche)

roche    Francisco, San, South    2024-12-07

Job posting number: #159014 (Ref:202411-130047)

Job Description

Department Summary
Development Sciences (DevSci) is a translational science organization that spans the entire drug discovery and development cycle — from early stage research to drug commercialization. Part of the drug development pipeline in DevSci includes the preclinical safety evaluation of candidate therapeutic molecules by toxicologists and pathologists in the Translational Safety department in order to enable further evaluation in humans.  The Digital pathology group in Translational Safety assists in this process by providing computational methods and tools to enhance and extend traditional manual image assessment performed by pathologists and toxicologists.  Much of our work involves developing analytical approaches to enhance the data obtained from digital whole slide images of histologic sections.  In addition to enhancing traditional bright-field microscopy-based evaluation of tissues for evidence of toxicity, our group also explores advanced microscopy techniques to gain greater insight into tissue responses to candidate drugs.  Our TS Digital Pathology intern projects involve helping develop computational solutions and platform-level tools to biological questions posed by our pathologists and toxicologists.

JOB IS FROM: nursingjobs.siteVIEW

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


The Opportunity
 We have a position for a talented intern to join our Digital Pathology group in Translational Safety, Pathology.  We develop computational solutions to biological problems posed by our pathologists and toxicologists.  As part of our team, you will assist our computational scientists in the development and implementation of image-analysis methods and pipelines using both traditional and advanced (machine and deep learning) methods. You will work closely with pathologists and/or toxicologists, who will provide insight into the biological context of your work. You may use commercially available image analysis platforms and you may also assist in the development and implementation of new AI based image analysis algorithms working with our scientists.   


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.
  • Must be pursuing a PhD (enrolled student).


Required Majors: 
Degrees in biomedical/electrical engineering, computer/data science, biological sciences, veterinary sciences, toxicology, pathology, or related fields are preferred.


Required Skills: 

  • Training and experience in biomedical/electrical engineering, computer/data science, or microscopy/biology with an interest in biomedical sciences and image analysis
  • Enthusiasm to learn standard image processing and statistical analysis software
  • Comfort working through iterative design with frequent feedback
  • A strong interest in working across disciplines with scientists in a variety of fields
  • Desire to work closely with and help others

Preferred Knowledge, Skills, and Qualifications

  • Experience with computational analysis, programming (especially Python or Matlab and R), image processing, and/or digital pathology
  • Experience in statistical analysis and data visualization
  • Experience with biomedical microscopy and/or image analysis 
  • Experience in deep learning and Pytorch
  • Experience in self-supervised learning

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $23-$50 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.

#GNE-R&D-Interns-2025

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.



Employer Info

Job posting number:#159014 (Ref:202411-130047)
Application Deadline:2025-01-06
Employer Location:roche
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