Hybrid Cancer Genomics Postdoc: Chromatin & Drug Response

1000 Genentech, Inc.; South San Francisco (CA); Hybrid; USD 110,000 - 120,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

Genentech, a Röche company in South San Francisco, CA, invites applications for a hybrid computational and wet-lab postdoctoral fellowship in the laboratories of Dr. Xiaosai Yao and Dr. Frederic de Sauvage.

The role focuses on how chromatin landscapes influence oncogenic drivers across tissues and how patient responses to cancer therapies can be interpreted using in vivo models. You will analyze single-cell and bulk omics data, work with in vivo cancer models, and collaborate across

Qualifications

• Ph.D. in Cancer Biology, Computational Biology or related field is required.
• Experience with in vivo cancer models (e.g. GEMM, xenograft) and in vitro cancer assays is required.
• Experience with bulk and/or single-cell omics data analysis (e.g. bulk RNA-seq, ATAC-seq, ChIP-seq and single-cell RNA-seq/ATAC-seq) is required.
• Proficiency in R or Python is required.
• Demonstrated ability to drive at least one key research project, evidenced by first-author publications in high‑impact journals.
• Strong communication skills and ability to work in a team environment.

Responsibilities

• Investigate interactions between oncogenic pathways and lineage factors using in vivo cancer models.
• Analyze single-cell and bulk omics datasets to form hypotheses and derive insights.
• Learn best practices in data analysis and potentially software development.
• Collaborate effectively within an interdisciplinary team of quantitative, experimental, and clinical scientists.

Skills

Cancer biology

In vivo cancer models

Omics data analysis

R or Python

First‑author publications

Team communication

Education

Ph.D. in Cancer Biology, Computational Biology or related field

Job description

Genentech, a Röche company in South San Francisco, CA, invites applications for a hybrid computational and wet-lab postdoctoral fellowship in the laboratories of Dr. Xiaosai Yao and Dr. Frederic de Sauvage.

The role focuses on how chromatin landscapes influence oncogenic drivers across tissues and how patient responses to cancer therapies can be interpreted using in vivo models. You will analyze single-cell and bulk omics data, work with in vivo cancer models, and collaborate across