2026 Summer Intern - Computational Biology and Medicine/AIML and Human Genetics
The Center for Excellence for Computational Sciences is a data driven division of Roche/Genentech with a mission to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. Computational Biology and Medicine (CBM) and Artificial Intelligence for Biology & Translation (AIBT) are two departments within this division that collectively work to apply new methods and approaches to the analysis of biological and clinical data.
This summer, CBM and AIBT, along with the Department of Human Genetics within Research Biology, are looking for a joint summer intern focusing on one of two inter-related projects:
The use of sequence-to-function (S2F) DNA models as priors in fine-mapping human genetic data (particularly in non-coding DNA)
The formalization of a method for projecting genetic risk scores into cell-type specific gene programs derived from single-cell sequencing datasets and, in particular, programs derived from interpretable gene scores derived from single-cell embeddings
In both cases, the primary focus would be on projects impacting our current collaborations with Immunology, and in particular COPD and IBD.
This internship position is located in South San Francisco, CA and is onsite/hybrid.
The Opportunity
Interaction with members of both departments to formulate a novel research program, including lab meeting contributions and attendance of seminars/project meetings
Participation in career advising programs
Exposure to a range of computational projects in the Pharmaceutical industry
Work with ML derived descriptions of gene expression alongside ML-enhanced interpretation of genetic variation for the development of more informative genetic risk scores
The opportunity to develop a robust method/code base that will directly make an impact on pipeline development
Program Highlights
Intensive 12-weeks, full-time (40 hours per week) paid internship.
Participation in department meetings and journal clubs
Program start dates are in May/June 2025.
A stipend 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.
Work with some of the most talented people in the biotechnology industry.
Who You Are
Required Education:
You must be pursuing a PhD (enrolled student)
Required majors:
Genetics, Computer Science or Engineering, Bioinformatics, Data Science or related fields.
Required Skills:
Familiarity with core concepts in human genetics such as GWAS, fine-mapping, and population structure
Proficiency in Python or R
Previous experience in single-cell computational methods and/or DNA/RNA sequence-to-function models
Preferred Knowledge, Skills, and Qualifications:
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
experience with frameworks for machine learning inference (e.g. Pytorch, TensorFlow, Lightning).
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.
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.