Senior Scientific Software Engineer, Analytics And Workflows

Genentech

South San Francisco, CA, US
Base: $142,500 - $264,700; bonus/equity: discretio...
R package development expertise
Analysis of bulk and single cell datasets
Scalable data formats integration
The Analytics and Workflows group within the Center of Excellence is dedicated to turning complex data into actionable insights that advance drug discovery and development

Job Summary

  • The Analytics and Workflows group within the Center of Excellence is dedicated to turning complex data into actionable insights that advance drug discovery and development.
  • Genentech offers a highly collaborative and dynamic research environment with access to large data sets, samples, compute resources, and state-of-the-art technologies.
  • This role involves working at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge data generation and biological interpretation.

Matching Summary

The Analytics and Workflows group within the Center of Excellence is dedicated to turning complex data into actionable insights that advance drug discovery and development.

Salary

Base: $142,500 - $264,700; Bonus/Equity: Discretionary annual bonus may be available; Benefits: Detailed benefits provided by company

Skills & Requirements

Must-have

  • R package development expertise
  • Analysis of bulk and single cell datasets
  • Scalable data formats integration
  • Modern software development practices
  • REST APIs and programmatic interfaces

Nice-to-have

  • Experience with Bioconductor and Tidyverse
  • Python technologies familiarity
  • Life science or drug development experience
  • Collaborative and dynamic research environment
  • Use of AI expert assistance in development

Key Requirements

  • PhD with 2 years relevant experience or Masters with 5 years
  • Expert knowledge of transcriptomic and epigenetic analysis
  • Experience delivering software projects through full development cycle
  • Ability to manage FAIR data and track data lineage
  • Experience working in clinical, academic, or commercial settings

Work Rights

Not specified

Tailored Resume

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