Job Description

The Team

CZI supports the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

We build open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We fund scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to do research that can’t be done in conventional environments. Each aspect is essential to our approach to building for the long term.

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

The Opportunity

As a Senior Research Scientist on the AI/ML team you will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. Measurement of biological systems has been revolutionized with modern high throughput techniques generating vast multimodal collections of datasets illuminating the inner workings of cellular systems. You will work as part of a team to leverage large-scale multi-modal biological datasets to create models that transform our understanding of cells.

You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. Scientific focus areas could include imaging, proteomics, single-cell biology and beyond. You will be dedicated to Open Science and deeply engaged with the global scientific communities across AI and computational biology.

What You’ll Do

• Develop, deploy, and maintain innovative machine-learning models that further our understanding of complex biological systems.
• Solve important problems in life science through the application of state-of-the-art methods in AI/ML and computer vision.
• Implement scalable solutions with respect to complex problems/scientific questions on large-scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, to advance understanding of cell structures, systems, and interactions.
• Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems.
• Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.
• Work with a diverse range of biological data types, including multi-omics data, cell/tissue images, time lapse microscopy, cryo-ET tomography and more.

What You’ll Bring

• Have demonstrated experience designing, building and training computer vision and AI/ML models, ideally but not exclusively to address multi-modal imaging problems in biology.
• Have a PhD or Masters in computer science (focus on machine learning and/or computer vision), computational biology, or a related field or equivalent industry experience and at least 5 years of experience developing and applying machine learning methods.
• Experience and technical fluency in AI, machine learning, computer vision, data integration, or computer science on varied large-scale data sets.
• A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas.
• Experience with manipulation and visualization of complex image datasets.
• Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners in leading-edge cell biology data-driven research.
• Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
• Have a proven track record of relevant research publications, preprints, or software packages.
• An appetite for turning scientific problems into reproducible, rigorously engineered systems based on quantitative evaluation.
• Enthusiasm about open science and helping usher in the age of digital biology.

How to Apply

Job Types: Full-Time. Salaries: 100,000 and above.

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