Postdoctoral Fellow, Computational Cancer Biology (Hybrid)

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

Benefits offered by this job

Relocation benefits

Job summary

Genentech, Inc. seeks a highly motivated postdoctoral fellow to explore how chromatin landscapes influence oncogenic drivers across tissues, combining computational and wet-lab approaches.

The position spans oncology and computational biology, with access to Genentech resources and a collaborative scientific community. Responsibilities include integrating in vivo models, bulk and single-cell omics analyses, software development practices, and cross-disciplinary collaboration, culminating in

Qualifications

• Ph.D. in Cancer Biology, Computational Biology or related field.
• Experience with in vivo cancer models (e.g. GEMM, xenograft) and in vitro cancer assays.
• 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).
• 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.

Responsibilities

• Utilize in vivo cancer models to understand chromatin changes after driver mutations or treatment.
• Analyze single-cell and bulk omics datasets to form hypotheses and derive insights.
• Learn best practices in data analysis and potentially software development.
• Collaborate within an interdisciplinary team of quantitative, experimental, and clinical scientists.
• Present complex results clearly to diverse audiences.

Skills

In vivo cancer models

Omics data analysis

R or Python

Education

PhD in Cancer Biology, Computational Biology or related field

Job description

Genentech, Inc. seeks a highly motivated postdoctoral fellow to explore how chromatin landscapes influence oncogenic drivers across tissues, combining computational and wet-lab approaches.

The position spans oncology and computational biology, with access to Genentech resources and a collaborative scientific community. Responsibilities include integrating in vivo models, bulk and single-cell omics analyses, software development practices, and cross-disciplinary collaboration, culminating in