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# Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

- **Company:** Buck Institute For Education
- **Location:** Novato, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Computational Biology, Computer Simulation, Computer Programming, Machine Learning, Deep Learning, Generative AI, Information Technology, Free and Open-Source Software
- **Published:** September 27, 2026
- **Apply:** https://www.juju.com/job/16_edf02b625

## About the Role

Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions., * BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field

 * Strong experience in one or more of the following areas:
 + Computer vision
 + Image recognition and segmentation
 + Deep learning
 + Generative AI
 + Diffusion models
 + Multimodal or foundation-model approaches
 * Demonstrated experience developing computational methods and analyzing complex datasets
 * Strong quantitative, analytical, and programming skills
 * Ability to work independently and collaboratively in a multidisciplinary research setting
 * Strong verbal and written communication skills, * Experience with biological, biomedical, or microscopy imaging data
 * Experience working in interdisciplinary research environments
 * Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
 * Publication record, open-source contributions, relevant research, project, or code portfolio

## Description

* Develop and apply advanced AI and machine learning methods to research questions in aging biology.
 * Design, build, and optimize computational approaches for large-scale image and biological data analysis.
 * Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
 * Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
 * Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
 * Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
 * Contribute to a collaborative and intellectually engaged research environment.


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