2025 Summer Intern - Cell Therapy Analytics

Department Summary

Oncology Bioinformatics supports and expands oncology research within the larger gRED organization, with our team focusing on cancer immunogenomics and cell therapies. One aspect of these efforts is genomic sequence analysis and optimization, especially in the context of gene regulatory sites. The candidate will join a team of scientists working to adapt established and cutting edge AI/ML sequence analysis approaches to internal efforts to optimize gene expression by manipulating regulatory elements.

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

The Opportunity

The candidate will be responsible for implementing one or more AI/ML approaches in close collaboration with colleagues with and without expertise in AI/ML and bioinformatics.

The candidate will be responsible for documenting their efforts and code effectively such that colleagues will be able to replicate their efforts before and after their departure.

The candidate will be responsible for effectively communicating their technical and scientific findings in both smaller project meetings and larger group presentation formats. 

More detailed project objectives will be tailored to the candidate’s strengths, and an ideal outcome for the project would be significant contributions to a robust bioinformatic pipeline of patent or publication quality. 

Program Highlights

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

Program start dates are in May/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) 

Required Education

You meet one of the following criteria:

Must be pursuing a PhD (enrolled student)

Must have attained a PhD

Required Majors: Computer Science, Bioinformatics, Bioengineering, Biology.

Required Skills: 

The candidate must be familiar with the fundamentals of sequencing-based transcriptomic and epigenomic approaches (RNA-Seq, ATAC-Seq, etc.) and the theory behind transcriptomic and epigenetic regulation.

The candidate must be familiar with motif analysis and machine learning.

The candidate must be comfortable with programming in Python, R, and/or Julia, ideally in an HPC setting.

Preferred Knowledge, Skills, and Qualifications

Expertise in machine learning, particularly sequencing-based approaches.

An interest in gene regulatory networks.

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 range for this position based on the primary location of California is $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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