2025–2026 gCS Computational Biology Internship (9 months)

Department Summary
gRED Computational Sciences (gCS) is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.  
You’ll join a team focused on single-cell, spatial and imaging data to study aging biology and related processes.

This on-site role is based in South San Francisco, on site.

The Opportunity

• Analyze scRNA-seq datasets to uncover cellular and tissue-level signatures of aging

• Develop and optimize pipelines for data integration and visualization
   

Program highlights

• 9-month, full-time paid internship (40 h/week)

• Starts September 2025.

• A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

• Participate in seminars and cross-functional meetings

• Work alongside leading computational biologists and data scientists
   

Who you are

Required Education

You meet one of the following criteria:

• Must have attained a  Bachelor's degree (recent graduates not currently enrolled in a grad program) or
• 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 or
• Must have attained a PhD no more than 2 years ago.

Required Majors

Bioinformatics, Data Analysis, Computational Biology, AI/ML Engineering or related fields.

Required Skills

• Computational analysis of single-cell genomic data (clustering, marker identification, trajectory inference, neighborhood-based analysis)

• Proficiency in R and/or Python

• Basic understanding of cell biology and gene expression

• Experience with AI/ML methods applied to biological data
   

Preferred Knowledge, Skills, and Qualifications

• Experience with spatial data analysis and imaging pipelines

• Experience with atlas building from biological data

• Exposure to machine-learning frameworks (e.g. PyTorch)

• Interest or background in aging biology

• Strong communication and collaboration skills

• Alignment with our values: Integrity, Courage, 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 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.