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Not Specified Permanent

San Francisco, California · USA job

Scientist 3, Single Cell & Functional Genomics

Genentech

San Francisco, California

Job description

Overview

In this role you drive cutting-edge cancer biology research using high-throughput screens and single-cell profiling to uncover molecular mechanisms and candidate therapeutic targets. You work hands-on across experimental and computational work, collaborating with oncology, translational medicine, and computational science teams. You will analyze complex genomics data, interpret perturbation outcomes, and share insights through high-impact publications. This position offers meaningful opportunities to shape cancer research and technology applications in a collaborative environment.

Compensation / Benefits
  • relocation benefits available
  • discretionary annual bonus possible
  • comprehensive benefits package
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 effectively with department and cross-organization teams
  • Communicate results through publications and presentations
  • Identify new research opportunities and innovative technology applications
Key requirements
  • Doctorate in a relevant field (e.g., molecular biology, cancer biology, genetics, immunology, systems biology, developmental biology, biochemistry, biomedical engineering)
  • Hands-on experience with single cell CRISPR screens
  • Experience in analysis of single cell and genomic data using R and/or Python
  • Strong 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
  • Sustained scientific productivity evidenced by publications and patents
  • Excellent oral and written communication
  • Collaborative mindset with multidisciplinary teams
  • Project management and leadership capabilities
  • Single cell CRISPR screens
  • Single cell profiling technologies
  • Genomic data analysis (R, Python)

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