2025 Fall Intern - Translational Safety Predictive Toxicology (Computational Bology)

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 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.

We are seeking a highly motivated intern to contribute to our computational projects, which focuses on in silico modelling for safety-related endpoints and translating safety findings across assays. This position will provide hands-on experience working with large-scale public and internal safety 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

• Develop in silico models for safety-related endpoints

• Curate complex data sets to validate applicability of in vitro and in silico models to in vivo findings

• Develop and iImprove computational methods for structure-based predictions in toxicology

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

• 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-weeks / 6 months / 12 months, full-time (40 hours per week) paid internship.
• Program start dates are in January (Spring) / May/June (Summer) / 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 Education

You meet one of the following criteria:

• Must be pursuing a Master's degree (enrolled student) or
• Must have attained a Master's degree no more than 2 years ago or
• Must be pursuing a PhD (enrolled student).

Required Majors

Computational Biology, Computational Toxicology, Computational Chemistry, Cheminformatics or related fields.

Required Skills

• General understanding of statistics

• Strong programming skills in Python and/or R.

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

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

• Experience with handling bioassay data, data curation, and integrating data across public and in-house repositories

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

• Strong interest in drug discovery, toxicology, and drug safety

Preferred Knowledge, Skills, and Qualifications

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

• Understanding of interest in applications of multi-omics data applications in toxicology as well as associated technical aspects, including data integration, batch correction methods, clustering & cell type assignment, differential gene expression

• Familiarity with biological pathways, pharmacology and toxicology concepts.

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.