Senior Technical Program Manager, Science

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

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

CZI is building a virtual cell model that will learn how cells function at a molecular level, and predict how cells and tissues respond to changes to their genes or environment. To achieve this, we aim to generate datasets that enable us to track cells' journeys throughout development, monitor real-time changes in cellular state and identity, and measure how cellular machinery responds to environmental changes. To achieve this, we will generate very large amounts of volumetric, time-resolved microscopy data, and ultimately we will publish the data, models, and related applications for public use. 

As the Senior Technical Program Manager, you will be responsible for ensuring end-to-end delivery of the imaging datasets, first to AI researchers, and ultimately to the scientific community. You will partner with research scientists, engineers, and data scientists to design and implement systems to acquire, transform, store, manage, and prepare data for model training. You will ensure the system implements requirements from Product Management to make those data useful and accessible for the scientific community. You will ensure data we create are standardized and carry uniform metadata–across imaging modalities but also across other data types we generate. Through these efforts, you will create the data foundation for our work in imaging science. 

What You'll Do

• Define and defend the technical strategy and roadmap for imaging data acquisition
• Establish systems and processes to ensure agility and responsiveness to emerging data types or modeling needs in the rapidly evolving AI biology space.
• Oversee design and operation of data pipelines and storage solutions to support multi-PB image acquisition, storage, and use
• Organize a team to create high quality, standardized imaging datasets and deliver them to  AI researchers and the scientific community.

What You'll Bring

• 8+ years of experience with biological imaging data, including at least 5 years experience working with technologies accumulating multiple PBs of data per year.
• Delivered multiple large data products, at least one of which contains a significant component of imaging data.
• Interest and ability to execute and manage a large, cross-functional project with many stakeholders.
• Experience with big data: extraction, transport, loading, databases, standardization, and data validation.
• Strong fundamentals in algorithms, statistical reasoning and/or machine learning.
• Exposure to image analysis and QC best practices.
• Excellent written and verbal communication skills.
• Enthusiasm to ramp up on technologies and learn new domains.
• Experience working in a scientific multidisciplinary environment (e.g. with research scientists, engineers, data scientists, and/or AI researchers).

Compensation

The Redwood City, CA base pay range for this role is $178,000 - $267,000. 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.

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