Career Opportunities

You will apply and optimize state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s mission. You will be expected to be familiar and willing to push the boundaries of generative AI tools for scientific discovery. You will work as part of a team responsible for developing and deploying (Gen-) AI models that use data developed by CZI and research partners all for the purpose of contributing to greater understanding of human cell function and AI for science. You will interface with our AI cluster infrastructure team to build and maintain world class AI modeling capabilities. You will have the opportunity to work closely with teams of scientists, computational biologists, engineers within CZI and to collaborate with CZI grantees, with 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 literature agents, models for single cell biology, imaging, genomics, and proteomics.

You will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s focus on understanding the mysteries of the cell.

You will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s focus on understanding the mysteries of the cell.

You will help shape the future of education! We're passionate about developing innovative pilot projects that address the needs of educators and students. You'll have a direct impact on pilot teams and contribute to identifying future opportunities in education, including emerging technologies like AI.

You will be one of the key leads to drive architecture design and delivery of a distributed web-based platform powered by Virtual Cell Models. Provide technical leadership to an engineering org building the platform powered by these models

You will design and implement all the data needs for our platforms, CELLxGENE Discover, CryoET, as well as the new platform we are building that has a focus on data for AI and the virtual cell, in order to enable scientists to further interrogate our very large and growing corpus of data without any need to download the data itself or have any computational expertise. You will work on a collaborative, multidisciplinary team to develop solutions for our scientist users to accelerate their workflows and accelerate the pace of scientific discovery. You will be responsible for setting the direction of how our teams ingest, transform, validate, process, store, monitor, and utilize petabytes of data for ease of use, search and modeling. You will also be responsible for upscaling the engineers around you and influencing the proper technical best practices and data design for efficient and effective delivery. No prior biology experience is required for this role. You will have the opportunity to pair with Computational Biologists to develop solutions for our users and be able to learn about biology from experts on our team. Our tech stack: Python, Terraform, AWS infrastructure, TileDB.

You will design and produce high quality quantitative research end-to end, and elevate insights that inform strategy, validate assumptions, provide critical context, and serve the broader fields in which we work.

You will define the product vision, lead the journey to product-market fit, and guide the development of an open data platform. This graph will serve as a critical data asset powering the AI products of leading edtech developers.