Career Opportunities

You will play a key role in priority enterprise-level initiatives, influence security across our organization, and drive the implementation of our Information Security strategy. We are looking for a TPM with a proven track record of developing and shipping high-quality technologies and services and integrating them into products and experiences. This role will have the opportunity to work closely with partners across the Chan Zuckerberg Organization, aligning with CZI’s Security policies and practices. The role will help evolve a security program that enables CZI staff to protect sensitive information in an active and robust environment and adhere to security measures.

You will proactively focus on setting the direction and developing and executing the operational strategy that optimizes our resources across education. In this role, you'll be a key leader within our Education team, responsible for developing and executing the operational strategy that maximizes our impact on students and educators. You'll collaborate closely with Education leadership, product, engineering, and partnerships to ensure alignment, drive efficient decision-making, and accelerate the delivery of transformative solutions.

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 Opportunity The Data Engineering team manages and processes scientific datasets specifically designed to enable biological modeling. It is responsible for data validation, wrangling, testing, storage, and retrieval. We handle over 89 million unique cells worth of single cell transcriptomic data, over 15 thousand cryoET tomograms that  are in imaging datasets as large as 20TB and counting, and will be expanding to support larger scale and additional imaging, sequencing, and literature modalities. Our resources provide access to open source data that is structured and used  by tens of thousands of scientists each month to quickly query and form hypotheses on understanding how genetic variants in cells impact disease risk, define drug toxicities, and eventually discover better therapies. As a staff software engineer on the Data Engineering team, 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 develop and maintain the tooling and infrastructure that drives the entire data lifecycle at CZI, from ingestion and processing to secure storage and access. Your work will directly support cutting-edge research, AI model training, and data analysis across the organization.

You will play a key role in further developing a high functioning team to streamline, secure, and enhance our HR systems, including Workday, Greenhouse, and VNDLY. You will work closely with the People team to create employee experiences leveraging process, technology, and enablement to deliver impact.

You will ensure that CZI remains a global leader in leveraging data to advance biomedical science and change medicine for generations to come. The leader will serve as the connective tissue between experimental data generation and computational modeling efforts, ensuring the initiative builds a data foundation that enables breakthrough biological insights. The Vice President of Data will be a collaborative, forward-looking leader who thrives in a dynamic, fast-paced environment focused on delivering transformative science.