2026 Summer Intern - Cell and Tissue Genomics Oncology

Roche•South San Francisco, CA

7d•$50•Onsite

About The Position

The Cell and Tissue Genomics Oncology group utilizes advanced genomic technologies to investigate the molecular mechanisms underpinning cancer initiation, progression, and drug resistance. This research is critical for identifying novel and differentiated drug targets to treat cancer. This internship position is located in South San Francisco, on site. The Opportunity Join a highly cross-functional team, engaging in cutting-edge science aimed at delivering transformative medicines to patients. Develop and implement molecular and cell biology assays to assess the intrinsic immunogenicity of various cancer models. Design experiments utilizing cutting-edge genomic techniques to analyze and track changes in cell state during treatment. Employ bioinformatics and computational approaches for the analysis of complex datasets, converting findings into practical scientific conclusions. Communicate research outcomes effectively through presentations at group and department meetings across various internal functions within Genentech. 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.

Requirements

Must be pursuing a PhD (enrolled student).
Required Majors: Immunology, Cancer Biology, Cell biology, Molecular Biology or related field.
Experience in in vitro primary immune cell culture and handling.
Proficient in aseptic cell culture techniques.
Excellent collaboration and interpersonal skills, with the ability to thrive in a team environment.
Strong ability to communicate effectively and concisely.

Nice To Haves

Strong background in Immunology and T cell Biology is a plus
Experience in molecular biology techniques such as lentiviral and/or retroviral transduction is a plus.
Experience in flow cytometry is a plus.
Experience in data analysis using R or Python is a plus.

Responsibilities

Develop and implement molecular and cell biology assays to assess the intrinsic immunogenicity of various cancer models.
Design experiments utilizing cutting-edge genomic techniques to analyze and track changes in cell state during treatment.
Employ bioinformatics and computational approaches for the analysis of complex datasets, converting findings into practical scientific conclusions.
Communicate research outcomes effectively through presentations at group and department meetings across various internal functions within Genentech.