Research Scientist

6 days ago


San Francisco, California, United States The Chan Zuckerberg Biohub, Inc. Full time
Job Description

The Chan Zuckerberg Biohub, Inc. is seeking a highly skilled Research Scientist to join our team in San Francisco. As a Research Scientist, you will be responsible for developing and implementing cutting-edge AI and machine learning techniques to analyze and interpret large-scale biological data.

Key Responsibilities
  • Develop and deploy state-of-the-art deep learning models to enable translation across multimodal cellular readouts
  • Design and implement innovative approaches for modeling diverse biological data types across multiple scales (cell, tissue, organism)
  • Collaborate with interdisciplinary teams to integrate AI and machine learning techniques into our research pipeline
  • Develop and maintain high-quality software and tools for data analysis and visualization
  • Present research findings at scientific conferences and publish in top-tier journals
Requirements
  • PhD degree in Computer Science, Bioengineering, Computational Biology, or a related field with AI/ML focus
  • 3+ years of experience with Python and relevant deep learning libraries (TensorFlow or PyTorch)
  • Track record of publications in the field of machine learning applied to biological (omic and/or imaging) data
  • Experience working with large multimodal datasets (omic and one or more of image and language modalities)
  • Strong professional judgment, problem-solving abilities, and excellent communication skills
Preferred Qualifications
  • Knowledge of learning paradigms beyond supervised learning, such as multimodal data fusion, weakly supervised learning, multitask learning, meta-learning
  • Experience with deep generative models such as variational autoencoders, generative adversarial networks, and diffusion models
  • Working knowledge of cell biology and normalization steps associated with one or more omic data modalities
What We Offer
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge research facilities and resources

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