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2025 Summer Intern - Translational Research (Bioinformatics)

Genentech
United States, California, South San Francisco
Dec 20, 2024
The Position

2025 Summer Intern - Translational Research (Bioinformatics)

Department Summary

We are now accepting applications for the Genentech 2025 Summer Internship Program in gRED Computational Sciences; this post is for a computational biology role in Translational Research.

In gRED Computational Sciences, we realize the potential of data, technology and computational approaches to revolutionize how targets and therapeutics are discovered and developed, enabling novel treatments for patients across the world. The goal of the program is to train candidates with skills that will enable them pursue a career in drug discovery and development.

The selected candidate will apply robust statistical and computational methods to explore multi-omics data (RNAseq, DNAseq, IHC) from thousands of breast cancer patients to enable discovery of new therapeutic targets and characterize high-risk populations.

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

The Opportunity

  • Analysis of NGS data including RNAseq and WES to infer associations with clinical outcomes.

  • Implement computational methods to unbiasedly characterize tumor subtypes.

  • Cross-reference findings with scRNAseq data from clinical trials.

Program Highlights

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

  • Program start dates are between May and June 2025.

  • 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 Bachelor's degree

  • Must have attained a Bachelor's degree (recent graduates not currently enrolled in a grad program)

  • Must be pursuing a Master's degree

  • Must have attained a Master's degree

  • Must be pursuing a PhD

Required majors: STEM major (preferably in cancer biology or related) with coursework in Bioinformatics, Data Science, Computer Science, Information Technology, Bioengineering or similar.

Required skills:

  • Proficient in coding with R or Python.

  • Deep knowledge of statistical principles, linear algebra, and regression analysis.

  • Knowledge of cancer biology systems and oncogenic pathways.

  • Previous experience working with NGS data is highly desirable but not required.

  • Previous experience working in an HPC/cloud environment is highly desirable.

Preferred Knowledge, Skills, and Qualifications

  • Excellent communication, collaboration, and interpersonal skills.

  • Careful, detail-oriented working style.

  • Familiarity with looking through databases (for example: clinicaltrials.org, PubMed).

  • Experience reading scientific journals.

  • Time management: organizing to-do lists, setting priorities, and following through to meet goals and deadlines.

  • Experience with organizational software: Google calendar, Slack, or others.

  • 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 $45.00-$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.

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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.

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