Research Scientist - AI and Biology
San Francisco, CA, United States
The Opportunity
Reporting to the Director of Computational Biology and Data Science , the Research Scientist will have primary responsibility for developing multimodal data fusion strategies and building innovative AI/ML models to enable CZ Biohub research in San Francisco.
You will
Develop multimodal data fusion strategies; building, deploying and maintaining state–of–the–art deep learning models to enable translation across multimodal cellular readouts
Develop innovative approaches (deep generative models, foundation models, etc.) for modeling diverse biological data types across multiple scales (cell, tissue, organism) in collaboration with interdisciplinary teams in a hybrid scientific and engineering culture
Writing and presenting work at scientific conferences
You have
Essential –
PhD degree in 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), and training large AI/ML models
Experience working in Linux environments and familiarity with version control systems (eg. git)
An appetite to follow and build on state–of–the–art research in machine learning, multimodal reasoning, representation learning
Strong professional judgment, problem–solving abilities that adapt to a variety of situations
Strong interpersonal skills with excellent written and verbal communication skills
Ability to respond quickly to shifting circumstances and adjust and prioritize accordingly
Nice to have –
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
The Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID–19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.
Compensation
$187,000 – $205,700
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