2026 Summer Intern - Genetic Medicine Technology: Precision Gene Editing Team

2026 Summer Intern - Genetic Medicine Technology: Precision Gene Editing Team

Department Summary

The newly formed Genetic Medicine Technology group in gRED (Genentech Research and Early Development) is redefining the future of cell and gene therapies. Our proprietary non-viral gene delivery and gene editing platforms serve as a versatile foundation for a wide range of therapeutic modalities, with potential applications extending across a broad spectrum of oncology and genetic diseases. We are committed to building a world-class organization that bridges the gap between early-stage technology discovery and life-changing clinical applications.

Within this group, the Precision Gene Editing team focuses on the engineering and optimization of next-generation genome editing technologies. Our team's mission is to discover and develop novel enzymes-including transposases, recombinases, and CRISPR-associated nucleases-to enhance the efficiency and safety of DNA manipulation for our proprietary gene insertion platforms. By integrating rational design, structure-guided computational methods, and directed evolution, we are building a sophisticated protein engineering toolbox designed to manipulate mammalian genomes with unprecedented efficiency and specificity.

This internship position is located in San Diego, CA, on-site.

The Opportunity

• Support the design and construction of enzyme variants using molecular biology techniques such as Gibson Assembly, Golden Gate cloning, and site-directed mutagenesis.

• Assist in routine molecular biology tasks, including PCR, restriction digestion, plasmid DNA purification (mini/maxi-preps), and sequence verification to support the iterative building of transposase variants.

• Utilize non-viral delivery methods, including nucleofection and other transfection techniques, to introduce novel gene-insertion tools (transposases, recombinases, or nucleases) into mammalian cell lines and execute cell-based assays to evaluate their efficiency.

• Perform standard analytical assays-such as ddPCR for copy number determination or flow cytometry-to characterize the performance of engineered transposase candidates.

• Utilize computational tools and structural biology data to analyze experimental results, helping to refine design strategies and predict the performance of engineered protein variants.

Program Highlights

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

• Program start dates are in May/June 2026.

• 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 Bachelor's Degree (enrolled student).

• Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).

• 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:Molecular/Cell Biology, Biological/Biomedical Engineering, Biochemistry, Bioinformatics, or a related scientific field.

Required Skills:

• Proficiency in core molecular biology (cloning, PCR) and familiarity with genome editing technologies (CRISPR, piggyBac, recombinases).

• Hands-on experience with mammalian cell culture, transfection, and functional cell-based assays.

• Understanding of protein engineering techniques (e.g., rational design, directed evolution, library design).

• Strong attention to detail with a proven track record of maintaining precise experimental records (Electronic Lab Notebooks) and performing basic data analysis.

Preferred Knowledge, Skills, and Qualifications

• Experience with ddPCR for genomic quantification and/or Flow Cytometry for fluorescent reporter expression.

• Familiarity with programming languages (Python or R) for biological data analysis or software for structural protein modeling (e.g., PyMOL, AlphaFold, Rosetta).

• 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 ofCalifornia is $23.00-$44.00 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.