2026 Summer Intern - Translational Safety (Bioinformatics)

Genentech • South San Francisco, CA • 21h ago

The Position

Department Summary

We are now accepting applications for the Genentech 2026 Summer Internship Program in Development Sciences (DevSci); this post is for a computational biology role in Translational Safety (TS). 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 selected candidate will integrate single-cell RNA-seq and ATAC-seq data to evaluate how well in vitro liver models reproduce in vivo toxicant responses. Using AI-based modeling, the intern will determine whether cell-specific chromatin accessibility changes can predict transcriptional activation patterns. These insights will define the translational utility of in vitro systems and inform the design of more predictive, human-relevant liver toxicity models.

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

The Opportunity

Integrate Multiomic Data: Process and analyze single-cell RNA-seq and scATAC-seq datasets to map regulatory landscapes.

Benchmark Model Performance: Compare in vitro liver model responses against in vivo profiles to evaluate how accurately lab models reproduce toxicant-induced cellular programs and injury pathways.

Develop AI Predictive Models: Build and test AI/machine learning frameworks to determine if chromatin accessibility changes can accurately predict downstream transcriptional activation and gene expression.

Drive Translational Impact: Generate mechanistic insights that define the utility of current experimental systems.

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.

Who You Are

Required Education:

Must be currently pursuing a PhD (enrolled student).

Required Majors/Coursework: STEM Major (preferably in Toxicology or related) with coursework in Bioinformatics, Computational Biology, Data Science, Computer Science, Information Technology, Bioengineering or similar.

Required Skills:

Proficient in coding with R or Python.

Experience working in an HPC/cloud environment to manage large biological datasets.

Familiarity with machine learning frameworks or predictive modeling, specifically applied to biological data.

Previous experience working with single-cell/ATACseq data is highly desirable.

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.

Knowledge of liver biology and toxicology.

Experience reading scientific journals.

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.

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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

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