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South San Francisco

Internship

Onsite

$50/hr - $50/hr

Intern

Roche is a leading biotechnology company, and they are seeking a 2026 Summer Intern in Translational Safety focusing on Bioinformatics. The role involves integrating single-cell RNA-seq and ATAC-seq data to evaluate liver models and developing AI predictive models to enhance the understanding of liver toxicity.

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Responsibilities

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

Qualification

Required

Must be currently pursuing a PhD (enrolled student)
STEM Major (preferably in Toxicology or related) with coursework in Bioinformatics, Computational Biology, Data Science, Computer Science, Information Technology, Bioengineering or similar
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

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