2026 Fall Intern - Translational Medicine/Oncology

Department Summary

The Department of Translational Medicine leads biomarker discovery and development efforts for programs in Early Stage Research through Phase III clinical trials. We use relevant pharmacodynamic biomarkers to evaluate target-engagement and mechanism of action of candidate therapies as well as prognostic biomarkers to guide patient selection. Our department is responsible for developing biomarker strategies, designing and implementing biomarker assays, and interpreting biomarker results. The Translational Medicine department also conducts reverse translation activities to further understand the target biology and mechanism of action of the molecules in the clinic. This internship is in the Oncology department.

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

The Opportunity

• Analyze high dimensional flow cytometry results with unsupervised clustering.

• Analyze biomarker data for early stage programs.

• Conduct experiments that require experience with immune cells isolation, staining and flow cytometry.

• Interpret the results and present the findings.

• Analyze single cell data.

Program Highlights

• Intensive 12-weeks, full-time (40 hours per week) paid internship.

• Program start dates are in September (Fall).

• 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 PhD (enrolled student).

• Must have attained a PhD.

Required Majors: Oncology, Immuno-oncology, Computational Biology or Bioinformatics.

Required Skills:

• Experience with isolating and handling immune cells, running multicolor flow cytometry, sorting immune cells, running ELISA.

• Experience with unsupervised flow cytometry analysis using computational tools.

Preferred Knowledge, Skills, and Qualifications

• Experience with R, Python or other programming tools is a plus.

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

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 per 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.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Analyze high dimensional flow cytometry results with unsupervised clustering. Analyze biomarker data for early stage programs. Conduct experiments that require experience with immune cells isolation, staining and flow cytometry. Interpret the results and present the findings. Analyze single cell data. Program Highlights. Intensive 12-weeks, full-time (40 hours per week) paid internship. Program start dates are in September (Fall). 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 PhD (enrolled student). Must have attained a PhD. Required Majors: Oncology, Immuno-oncology, Computational Biology or Bioinformatics. Required Skills: Experience with isolating and handling immune cells, running multicolor flow cytometry, sorting immune cells, running ELISA. Experience with unsupervised flow cytometry analysis using computational tools. Preferred Knowledge, Skills, and Qualifications. Experience with R, Python or other programming tools is a plus. Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

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