Senior Research Scientist

The Team

CZI supports the science and technology that will make it possible to help scientists 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. 

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

• Building an AI-based virtual cell model to predict and understand cellular behavior
• Developing state-of-the-art imaging systems to observe living cells in action
• Instrumenting tissues to better understand inflammation, a key driver of many diseases
• Engineering and harnessing the immune system for early detection, prevention, and treatment of disease

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with 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. Bioimaging and microscopy methods provide measurements of the inner workings of cellular systems. You will work as part of a team to leverage these 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 and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in biological imaging such as representation learning, multi-object tracking, multimodal data integration or time series modeling.
• Work with a diverse range of biological data types, including multi-omics data, cell/tissue images, time lapse microscopy, cryo-ET tomography and more. 
• 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.
• Work as part of a team to leverage large open-source biological datasets to create models that transform our understanding of cells.
• 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.

What You'll Bring

• 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 in representation learning techniques, including expertise in unsupervised and self-supervised learning methods, dimensionality reduction, and feature extraction and the ability to create meaningful and high-quality data representations from image data that facilitate downstream tasks.
• Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling.
• Have a proven track record of research and innovation in machine learning, computer vision or computational biology, demonstrated through publications, conference presentations, or project outcomes with an ability to stay updated with the latest advancements in the field.

Compensation

The Redwood City, CA base pay range for this role is $190,000.00 - $285,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
• CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving to the Bay Area
• And more!

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Hybrid