2025 Fall Intern - Genetic Perturbations

Department Summary

The mission of the Molecular Oncology Bioinformatics department is to bring lasting benefit and cures to cancer patients through innovative scientific discoveries and medicines. Our vision is to transform cancer care by taking a science-driven approach to drug discovery and development to achieve enduring clinical benefit. Guided by a deep understanding of the unique molecular features associated with each patient's disease, we identify and understand pathways that drive cancer and establish the therapeutic potential of individual targets. By combining laboratory and clinical investigation, we design strategies and medicines that target tumor cells, drug resistance, and the tumor microenvironment to achieve dramatic, lasting, benefit for cancer patients. The development and application of novel computational concepts and analyses allows us to better understand the biology of cancer and to support the development of new drugs.

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

The Opportunity

Genome-wide genetic perturbation studies aim to uncover the functional roles of genes, elucidate gene regulatory networks, and gain insights into complex biological processes. As more genome-wide datasets become available, scalable and interpretable computational methods to extract biological insights from these atlases are lacking. The Melo Carlos Lab and Li Labs and are looking for an exceptional intern candidate to work on evaluating and benchmarking methods for gene decomposition across multiple conditions. This position provides an exciting opportunity to work at the intersection of data science, systems biology, and disease research, with the potential for meaningful impact in the field.

Key Responsibilities

• Evaluate and benchmark methods for gene decomposition across Perturb-Seq datasets

• Present on the scientific findings.

Who You Are

Required education

• Must be pursuing a PhD (enrolled student) OR

• Must have attained a PhD (having graduated no more than 2 years ago).

Required majors

• Computational Biology, Computer Science, Statistics, Mathematics, or similar quantitative or computational fields

Required skills

• Experience with single cell data analysis

• Scientific programming experience in Python

• Strong foundation in Biology, Data Science, and Statistics

Preferred Qualifications

• Familiarity with transcriptomics data and the concepts of high-content perturbation screens such as Perturb-Seq

• Excellent communication, collaboration, and interpersonal skills.

• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

• Track record of tackling challenging biological problems with advanced computational methods

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 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.