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 conduct original research in developing state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission.

You will model complex problems and architect large-scale distributed systems. You will design stable and performant APIs for both internal and client-facing products.

You will be working with a set of highly motivated and talented engineers to build cloud applications on latest technologies that scientists rely on every day in ways that enable them to draw more meaningful conclusions, or biological insights, more quickly. By making our tools, methods, and quality data sets accessible to a diverse set of scientists, clinicians, and patient communities, we contribute to the rate at which biomedical science can understand and advance human health. This role will work with Product Managers, UX Designers/Researchers, Application Scientists and other Engineers to design, build and maintain user-facing web applications for SciTech products using modern technologies and architecture design patterns.