Data Scientist, Computational Toxicology

Genentech

South San Francisco, CA, US
Base: $156,200 to $290,200; bonus/equity: discreti...
Computational toxicology data analysis
Omics data integration and analysis
Machine learning for life sciences
The department of Translational Safety is looking for a computational toxicology data scientist to provide scientific leadership and contribute to the comprehensive and integrated safety profiling of Genentech drug candidates

Job Summary

  • The department of Translational Safety is looking for a computational toxicology data scientist to provide scientific leadership and contribute to the comprehensive and integrated safety profiling of Genentech drug candidates.
  • You will work closely with cross-functional teams to analyze diverse data, develop novel computational tools, and drive adoption of in silico New Approach Methodology models throughout the drug development pipeline.
  • Relocation benefits are available and the position offers a salary range of $156,200 to $290,200 with a discretionary annual bonus and comprehensive benefits.

Matching Summary

The department of Translational Safety is looking for a computational toxicology data scientist to provide scientific leadership and contribute to the comprehensive and integrated safety profiling of Genentech drug candidates.

Salary

Base: $156,200 to $290,200; Bonus/Equity: Discretionary annual bonus; Benefits: Detailed benefits available

Skills & Requirements

Must-have

  • Computational toxicology data analysis
  • Omics data integration and analysis
  • Machine learning for life sciences
  • Programming in R or Python
  • Cloud computing and SQL experience
  • Safety screening and drug candidate de-risking

Nice-to-have

  • Single-cell and spatial transcriptomics expertise
  • Advanced ML with image processing and pattern recognition
  • Experience with generative models and knowledge graphs
  • Cross-functional team collaboration
  • Scientific leadership and communication skills

Key Requirements

  • PhD in computational biology or related field
  • 0-5 years of relevant experience
  • Proven record curating and interpreting bioassay data
  • Experience with safety screening pipelines
  • Strong programming and data management skills
  • Practical understanding of biological data statistics

Work Rights

Not specified

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