2025 Summer Intern - Translational Safety

2025 Summer Intern - Translational Safety

Department Summary

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 are seeking a highly motivated intern to contribute to our computational projects, which focus on integrating single-cell RNA sequencing (scRNA-seq) data to generate biomedical insights. This position will provide hands-on experience working with large-scale public and internal scRNA-seq datasets, developing pipelines and computational models to uncover biological mechanisms, pathways, and safety risks relevant to drug safety.

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

The Opportunity

• Curate and preprocess large-scale scRNA-seq datasets (public and internal) for integration into scalable analytical platforms.

• Develop computational pipelines and workflows for efficient processing, normalization, analysis, and visualization of large-scale scRNA-seq data.

• Identify and map critical insights related to biological pathways, mechanisms of action, and off-target effects across therapeutic areas.

• Collaborate with cross-functional teams to integrate computational findings into biological insights and communicate progress effectively to stakeholders.

Program Highlights

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

• Program start dates are in May/June

• 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 pursuing a Master's Degree (enrolled student).

• Must have attained a Master's Degree.

• Must be pursuing a PhD (enrolled student).

Required Majors:

• Computational Biology, Bioinformatics, Computer science, Machine Learning & AI, Data Science or related fields.

Required Skills:

• Proficiency in analyzing and processing scRNA-seq data (normalization, clustering, integration).

• Strong programming skills in Python and/or R.

• Knowledge of statistical and machine learning approaches for biological data analysis.

• Experience with handling large-scale datasets and familiarity with AWS cloud or HPC environments.

• Strong communication skills and the ability to collaborate across disciplines.

Preferred Knowledge, Skills, and Qualifications

• Experience integrating scRNA-seq with public resources like Human Cell Atlas, or similar.

• Experience developing predictive models using classical or modern AI/ML methods.

• Familiarity with biological pathways, pharmacology, and toxicology concepts.

• 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 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.

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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.