Senior Machine Learning Scientist

4 weeks ago

South San Francisco, California, United States Genentech Full time
The Opportunity

We are seeking a highly skilled and motivated Senior Machine Learning Scientist to join our dynamic and creative team in the Perturbation Biology group within the BRAID department in Genentech Research and Early Development (gRED).

The successful candidate will design and apply Machine Learning algorithms to guide and improve the experimental design of high-content perturbation screens for drug and target identification, employing model classes such as multimodal representation learning and geometric deep learning.

Key responsibilities include:

  • Designing and applying Machine Learning algorithms to guide and improve experimental design
  • Working on and integrating various data modalities such as molecular structures, omics data, images, and text
  • Collaborating with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders
  • Building and scaling Machine Learning techniques to massive datasets and aiding in the deployment of novel Machine Learning algorithms
  • Publishing in top-tier ML venues and/or scientific journals, presenting results at internal and external scientific venues, conferences, and workshops

Requirements:

  • PhD degree in quantitative field (e.g., Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus
  • Proven track record of developing and applying advanced ML models in a research or industry setting
  • Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease
  • Proficiency in scientific programming in Python
  • Extensive experience with Machine Learning frameworks and libraries (e.g., PyTorch, JAX, Tensorflow)
  • Strong background in statistics, probabilistic modeling, and data analysis
  • Excellent communication, collaboration, and problem-solving skills
  • Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc.

Preferred:

  • Practical experience in one or more of the following areas: predictive modeling of perturbation datasets with high-content readout, modeling perturbation effects on heterogeneous cell states in transcriptomics data, predictive modeling and/or generative modeling on molecules and other chemistry applications, multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data

Benefits:

  • Relocation benefits are available for this posting
  • The expected salary range for this position based on the primary location of California is $165,800
  • A discretionary annual bonus may be available based on individual and Company performance
  • This position also qualifies for the benefits detailed at the link provided below

Genentech is an equal opportunity employer:

Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status.

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