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Genentech, Inc. is offering a 2027 Summer Intern position in Translational Safety (Computational Toxicology) located in South San Francisco. The program provides an intensive 12-week, full-time paid internship with a May/June start and an location-based stipend to help offset internship costs.
The role focuses on applying computational approaches to safety research using multi-omics data and AI/ML tools. Interns will work with interdisciplinary teams to develop workflows, assess models, and
2027 Summer Intern - Translational Safety (Computational Toxicology)
Development Sciences (DevSci) 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 (TS) department in order to enable further evaluation in humans. Translational Safety is an integral part of DevSci. We contribute to the organization’s success by providing scientific insights and ensuring the safety of molecules that advance through the pipeline to patients. We do this to support the DevSci vision to deliver the right drug in the right dose to the right patient. We are also committed to providing better outcomes for our people, patients, business, and communities by advancing and boldly championing diversity, equity, and inclusion in our work.
The Translational Safety organization is composed of several integrated sub-functions. This summer intern project falls within the Computational Toxicology sub-function. The Computational Toxicology group enables early and accurate compound safety profiling by leveraging all relevant data (in vitro, ex vivo, in vivo), advanced analytics and computational modeling while closely working with other Translational Safety subfunctions such as Investigative Toxicology and Complex In Vitro Systems and subfunctions within gRED Computational Sciences Center of Excellence (CS CoE) organization.
This internship position is located in South San Francisco, on-site.
The Computational Toxicology group is seeking a motivated summer intern to develop and apply computational approaches to biological questions in target safety research. The project will use single-cell transcriptomic and multi-omics data, alongside AI/ML methods, to investigate biological systems relevant to preclinical safety assessment.
Working with an interdisciplinary team, the intern will have opportunities to:
The specific research focus may be refined based on the intern's interests and project needs.