Senior Scientist, Single-Cell Genomics & Cancer Research

F. Hoffmann-La Roche AG; South San Francisco (CA); On-site; USD 103,400 - 192,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

Genentech in California is seeking a Scientist 3 to execute cutting-edge single-cell and functional genomic techniques to study cancer biology. This hands-on role combines experiments with computational analysis and high-throughput screens to profile cancer models and interrogate molecular mechanisms underlying disease states.

You will deploy new and existing single-cell profiling methods, analyze genomic data, collaborate across departments, and contribute to identifying therapeutic targets.

Qualifications

• Doctorate degree in a relevant field (molecular/cancer biology, genetics, immunology, systems biology, biochemistry or biomedical engineering).
• Hands-on experience performing and analyzing single cell CRISPR screens.
• Experience in analysis of single cell and genomic data using R and/or Python.
• Strong foundational background in NGS assays and molecular biology techniques.
• Excellent oral and written presentation skills.
• Ability to manage multiple projects in parallel and lead research efforts.
• Preferred: epigenomics experience and cancer biology disease expertise.

Responsibilities

• Perform high-throughput screens in cancer cell lines and models.
• Develop and apply single cell technologies to profile primary tissue samples.
• Analyze and interpret single cell perturbation data and broader genomic data.
• Collaborate with teams within the department and across the wider organization.
• Communicate results clearly through high-impact scientific publications and presentations.
• Contribute to identifying new research opportunities and innovative technology applications.

Education

Doctorate degree in a relevant field

Tools

R

Python

NGS workflows

Job description

Genentech in California is seeking a Scientist 3 to execute cutting-edge single-cell and functional genomic techniques to study cancer biology. This hands-on role combines experiments with computational analysis and high-throughput screens to profile cancer models and interrogate molecular mechanisms underlying disease states.

You will deploy new and existing single-cell profiling methods, analyze genomic data, collaborate across departments, and contribute to identifying therapeutic targets.