Senior Machine Learning Scientist - Ai - Lab Automation Software

Genentech

South San Francisco, CA, US
Base: $147,500 - 273,900; bonus/equity: discretion...
Machine learning model development
Multimodal data modeling
Python data science stack
Advances in AI, data, and computational sciences are transforming drug discovery and development at Genentech

Job Summary

  • Advances in AI, data, and computational sciences are transforming drug discovery and development at Genentech.
  • As a Senior Machine Learning Scientist, you will lead the development of AI-driven predictive models and autonomous decision-making systems to accelerate drug discovery through lab automation.
  • The position offers a competitive salary range, discretionary annual bonus, and comprehensive benefits, supporting a dynamic and innovative work environment.

Matching Summary

Advances in AI, data, and computational sciences are transforming drug discovery and development at Genentech.

Salary

Base: $147,500 - 273,900; Bonus/Equity: Discretionary annual bonus; Benefits: Detailed benefits available

Skills & Requirements

Must-have

  • Machine learning model development
  • Multimodal data modeling
  • Python data science stack
  • Production ML deployment
  • AI for lab automation
  • Advanced statistical experimental design
  • Large language models (LLMs)

Nice-to-have

  • Computational design of experiments
  • Bayesian optimization
  • Reinforcement learning
  • Scientific text abstraction
  • GitHub/GitLab project portfolio
  • Understanding of drug discovery pipeline
  • Foundational biology or chemistry knowledge

Key Requirements

  • MS/BS in Computer Science, Statistics, or related field with 5+ years industry experience
  • PhD with 2+ years deploying ML solutions
  • Proven impact via publications or patents
  • Experience with deep learning for imaging and time-series analysis
  • Expert proficiency in PyTorch
  • Experience in production or translational research settings
  • No relocation benefits available

Work Rights

Not specified

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