The Team   Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward.
The Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.
The Opportunity   By pairing engineers with leaders in our science and education teams, we can bring AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research and improvements in the Education space. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
The Data Engineering and Infrastructure team works on building shared tools and platforms to be used across the Chan Zuckerberg Initiative, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, Computational Biologists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale.
What You'll Do    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.
Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature. You'll work on various use cases, from web analytics to complex model training, ensuring data accessibility and performance for teams across CZI.
Design and implement flexible, scalable, and performant systems to address our stakeholders’ needs, leveraging technologies like Argo Workflows and Spark for mass-scale job processing and orchestration; Vast Data, Delta Lake, and Apache Iceberg for data management and access; and cloud and on-prem HPC resources.
What You'll Bring     Education & Experience:  BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience. 7+ years of hands-on coding experience in scripting (Python, PHP, Ruby) and systems languages (Rust, C++, C#, Go, Java, or Scala).
Data Platform Expertise:  Proficiency in managing large-scale data operations, including designing scalable pipelines (streaming and batch), working with varied data types, and optimizing flexible storage solutions using tools like Argo Workflows, Spark, Delta Lake, and Apache Iceberg.
Data Management and Development Operations:  Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez. Deep experience working with building CI/CD pipelines for data infrastructure and associated observability and monitoring tooling such as Prometheus, Grafana, OpenTelemetry, or Honeycomb.
Supporting Complex Data and AI ML Workflows:  Experience with addressing end to end data needs for working with complex data and delivering this data ready form model training, working directly with AI Researchers and AI Engineers as part of AI model training project teams. Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs).
Containerization:  Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.
Cloud & Infrastructure:  Strong experience with AWS, GCP, or Azure. Exposure to hybrid environments with on-prem and colocation systems is a plus. Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus).
Collaboration & Problem Solving:  Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions.
Compensation   The Redwood City, CA base pay range for this role is $214,000-$321,000. 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.
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

#J-18808-Ljbffr

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

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.
What You'll Do     Develop end-to-end, robust data pipeline architectures that seamlessly integrate data ingestion, preprocessing, feature engineering, model training, and deployment.
Implement scalable data warehousing solutions to handle massive volumes of single-cell transcriptomics data and imaging data.
Ensure data security and compliance with industry standards and regulations.
Implement optimization strategies such as data partitioning, indexing, and compression to enhance query performance and reduce computational costs.
Create user-friendly APIs to enable researchers and scientists to easily access and explore the curated data.
Develop scalable, maintainable, and testable software systems and participate in team conversations and efforts on engineering excellence.
Collaborate with product managers, computational biologists, UX designers, and other software engineers to deliver constant incremental value for scientists without compromising on software quality.
Have opportunities to learn about scientific data and technologies, though no prior experience is required!
What You'll Bring
8+ years of relevant software experience
Strong fundamentals in systems design, data structures, algorithms, and object oriented programming principles.
Past experience with data processing and orchestration pipelines, such as Argo Workflows, Databricks
Solid experience with object oriented programming languages and scripting languages, such as Java, C++, Python, Golang, etc.
Past experience with big data.
Some experience with infrastructure and automation tools, such as Kubernetes, Terraform, AWS.
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn a new science domain.
Experience working in a multidisciplinary environment (engineering, product, design).
Desirable but not required: experience with scientific computing libraries, such as NumPy and SciPy.
Compensation

The Redwood City, CA base pay range for this role is $214,000 - $321,000. 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.

#LI-Hybrid

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

At CZI, we pair technology with grantmaking to equip educators, families and students with tools that integrate high-quality research, practices and content to unlock the full potential of every student, no matter who they are or where they live. From program conception to software feature design, we center our work on student and educator voices to help educators address the day-to-day challenges in their classrooms.

Since 2015, our grant investments have helped catalyze new tools, practices, and measures designed to foster whole-child outcomes. We leverage technology to provide research-based practices in products that help teachers connect with students and tailor learning experiences to individual student needs.

At our core, we are builders and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI's first eight years of education work.
The Opportunity

Education is transforming through AI and knowledge technologies. At CZI, we're building Edu Graph, an innovative knowledge graph platform that will help connect and organize educational content, standards, and curricula to enable more personalized and effective learning experiences. We're seeking a talented Staff Software Engineer to join our AI Resources team and lead the development of Edu Graph, a large-scale, open knowledge graph that contains a broad education ontology, including curriculums and standards. Edu Graph will serve as a foundational component for educational technology developers and help improve learning outcomes for students across the country. The graph includes imported data sets and knowledge abstracted from structured and semi-structured sources. We're seeking a talented Staff Software Engineer to join our AI Resources team and lead the development of Edu Graph, which will serve as a foundational component for educational technology developers and help improve learning outcomes for students across the country.

This role offers a unique opportunity to apply knowledge graph expertise to solve complex technical and educational challenges. You'll collaborate with a diverse team of engineers, data scientists, and education experts to build and scale a knowledge graph that will power the next generation of educational tools. Our ideal candidate combines deep technical expertise in knowledge graphs with a passion for using technology to improve education and the ability to drive technical decisions that will shape the future of our platform.
What You'll Do

Lead the way:  Drive the technical architecture and development of Edu Graph, making key design decisions that will impact how we represent educational relationships between curricula, standards, and learning resources.
Connect the dots:  Design and implement scalable data pipelines to integrate diverse educational data from various sources, including curriculum providers and standards organizations.
Optimize for performance:  Own the development and optimization of our graph database infrastructure (currently Neo4j), ensuring high performance, reliability, and scalability.
Empower the ecosystem:  Help create and maintain APIs that enable educational technology partners to integrate and utilize Edu Graph data seamlessly.
Ensure data integrity:  Develop tools and frameworks for data quality assurance and graph validation.
Unlock the power of AI:  Collaborate with AI/ML teams to enable advanced capabilities like intelligent content recommendations and standards alignment.
Bridge the gap between technology and pedagogy:  Partner with product and education teams to translate pedagogical requirements into effective technical solutions.
What You'll Bring
Knowledge graph expert:  Demonstrated software engineering experience with proven expertise in knowledge graph development and graph databases (e.g., Neo4j).
Data pipeline pro:  Strong experience building reliable data pipelines and ETL processes to handle diverse educational data sources.
Cloud and systems savvy:  Experience with cloud infrastructure and distributed systems to ensure scalability and performance.
Programming proficiency:  Proficiency in Python, Java, or similar languages commonly used in data engineering.
Ontology architect:  Experience designing taxonomies and ontologies for representing entities and relationships within knowledge graphs.
AI/ML enthusiast:  Experience applying Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLM) for content understanding and knowledge extraction.
Team player:  Strong collaboration skills and the ability to work effectively in cross-functional teams.
Technical leader:  Experience mentoring other engineers and driving technical decisions.
Passion for education:  A genuine desire to leverage technology to improve learning outcomes for all students.
Compensation

The Redwood City, CA base pay range for this role is $214,000 - $321,000. 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.

#LI-Hybrid

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 At CZI, we pair technology with grantmaking to equip educators, families and students with tools that integrate high-quality research, practices and content to unlock the full potential of every student, no matter who they are or where they live. From program conception to software feature design, we center our work on student and educator voices to help educators address the day-to-day challenges in their classrooms. Since 2015, our grant investments have helped catalyze new tools, practices, and measures designed to foster whole-child outcomes. We leverage technology to provide research-based practices in products that help teachers connect with students and tailor learning experiences to individual student needs. At our core, we are builders and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI's first eight years of education work. The Opportunity Education is transforming through AI and knowledge technologies. At CZI, we're building Edu Graph, an innovative knowledge graph platform that will help connect and organize educational content, standards, and curricula to enable more personalized and effective learning experiences. We're seeking a talented Staff Software Engineer to join our AI Resources team and lead the development of Edu Graph, a large-scale, open knowledge graph that contains a broad education ontology, including curriculums and standards. Edu Graph will serve as a foundational component for educational technology developers and help improve learning outcomes for students across the country. The graph includes imported data sets and knowledge abstracted from structured and semi-structured sources. We're seeking a talented Staff Software Engineer to join our AI Resources team and lead the development of Edu Graph, which will serve as a foundational component for educational technology developers and help improve learning outcomes for students across the country. This role offers a unique opportunity to apply knowledge graph expertise to solve complex technical and educational challenges. You'll collaborate with a diverse team of engineers, data scientists, and education experts to build and scale a knowledge graph that will power the next generation of educational tools. Our ideal candidate combines deep technical expertise in knowledge graphs with a passion for using technology to improve education and the ability to drive technical decisions that will shape the future of our platform. What You'll Do <ul> <li>Lead the way: Drive the technical architecture and development of Edu Graph, making key design decisions that will impact how we represent educational relationships between curricula, standards, and learning resources. </li><li>Connect the dots: Design and implement scalable data pipelines to integrate diverse educational data from various sources, including curriculum providers and standards organizations. </li><li>Optimize for performance: Own the development and optimization of our graph database infrastructure (currently Neo4j), ensuring high performance, reliability, and scalability. </li><li>Empower the ecosystem: Help create and maintain APIs that enable educational technology partners to integrate and utilize Edu Graph data seamlessly. </li><li>Ensure data integrity: Develop tools and frameworks for data quality assurance and graph validation. </li><li>Unlock the power of AI: Collaborate with AI/ML teams to enable advanced capabilities like intelligent content recommendations and standards alignment. </li><li>Bridge the gap between technology and pedagogy: Partner with product and education teams to translate pedagogical requirements into effective technical solutions. </li></ul>What You'll Bring <ul> <li>Knowledge graph expert: Demonstrated software engineering experience with proven expertise in knowledge graph development and graph databases (e.g., Neo4j). </li><li>Data pipeline pro: Strong experience building reliable data pipelines and ETL processes to handle diverse educational data sources. </li><li>Cloud and systems savvy: Experience with cloud infrastructure and distributed systems to ensure scalability and performance. </li><li>Programming proficiency: Proficiency in Python, Java, or similar languages commonly used in data engineering. </li><li>Ontology architect: Experience designing taxonomies and ontologies for representing entities and relationships within knowledge graphs. </li><li>AI/ML enthusiast: Experience applying Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLM) for content understanding and knowledge extraction. </li><li>Team player: Strong collaboration skills and the ability to work effectively in cross-functional teams. </li><li>Technical leader: Experience mentoring other engineers and driving technical decisions. </li><li>Passion for education: A genuine desire to leverage technology to improve learning outcomes for all students. </li></ul>Compensation The Redwood City, CA base pay range for this role is $214,000 - $321,000. 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. <ul><li>CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. </li><li>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. </li><li>CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. </li><li>Paid time off to volunteer at an organization of your choice. </li> <li>Funding for select family-forming benefits. </li> <li>Relocation support for employees who need assistance moving to the Bay Area </li><li>And more! </li></ul> 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

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.

Our vision is to build the future of science by advancing biomedical research and leveraging advances in AI. Over the next 10 years, we're working to understand the mysteries of the cell, which we believe will lead to discoveries that will change medicine in the decades that follow. We'll use emerging tools, methods, and models to make new discoveries and spur the translation of basic science into groundbreaking treatments and therapies.

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

This is an excellent opportunity for an outstanding technical leader, inspired by CZI's mission, with a passion for the potential of technology to enable the organization to operate effectively, including accelerating scientific progress and applying technology to enable new science.

We're building an AI-powered virtual cell web based platform to help scientists explore the molecular underpinnings of human health and disease. As the Senior Staff Software Engineer of the Sci Tech org you will tackle complex challenges involving the integration of diverse and federated datasets to advance AI research. Additionally, you'll be instrumental in translating the outcomes of that research into actionable insights on the platform, accelerating scientific discovery and innovation.

This role will be focused on working with Product Managers, UX Design/researchers, data scientists and backend engineers to design, build and maintain performant, scalable and extensible applications for SciTech products.

Science initiatives includes building software such as

Virtual Cells - A platform for scientists to build, collaborate and contribute to the AI powered virtual cells which would enable scientists to explore the molecular underpinnings of human health and diseases.
CZ CELLxGENE - A rich single-cell data platform with interfaces that enable any computational or biological expert to understand the molecular function of cells and tissues.
CryoET Data Portal - This is a web-based interface to a global repository of cryo-electron-tomography data for fostering imaging research
CZ ID This web app focuses on pinpointing the most relevant pathogenic organisms and providing highly interactive visualizations that accelerate time to result and can be accessed by both experts and non-tech savvy users.
What You'll Do
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
Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize.
Work with Product Managers, AI researchers & Scientists implement a cutting-edge platform that harnesses the power of big data, AI models, and efficient workflows, driving scientific breakthroughs
Write well-crafted, well-tested, readable, maintainable code
Uphold a standard of technical excellence. Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices. Assist in creating a long-term technical vision for the Org
Coach and mentor engineers in the team.
What You'll Bring
Bachelor's degree in Computer Science or equivalent combination of technical education and work experience.
Technical Experience :
10+ years of expertise designing, building, and scaling distributed systems and big data applications.
Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.).
Solid knowledge of distributed systems, relational and NoSQL databases
Advanced knowledge with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
Strong design and coding skills in one or more programming languages such as Java, JavaScript, Python, or similar.
Strong fullstack prototyping skills
Passion for building software application as a platform, reusable software, and componentization
Exposure to building AI/ML Applications: Understanding of machine learning and AI, building infrastructure, services, and scalable technology stack.
Communication and Interpersonal Skills: Exceptional communication ability; fosters effective collaboration and empathy with diverse organizational and external stakeholders. Ability to engage and motivate a distributed, mission-oriented technical team.
Analytical and Problem-Solving Proficiency: Robust analytical skills coupled with the ability to solve complex technology challenges effectively.
Skills to be comfortable with ambiguity and are adept at using organizational goals to turn that ambiguity into clear deliverables.
Compensation

The Redwood City, CA base pay range for this role is $241,000 - $362,000. 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.

#LI-Hybrid

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.

Our vision is to build the future of science by advancing biomedical research and leveraging advances in AI. Over the next 10 years, we're working to understand the mysteries of the cell, which we believe will lead to discoveries that will change medicine in the decades that follow. We'll use emerging tools, methods, and models to make new discoveries and spur the translation of basic science into groundbreaking treatments and therapies.

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.
What You'll Do

Develop end-to-end, robust data pipeline architectures that seamlessly integrate data ingestion, preprocessing, feature engineering, model training, and deployment.
Implement scalable data warehousing solutions to handle massive volumes of single-cell transcriptomics data and imaging data.
Ensure data security and compliance with industry standards and regulations.
Implement optimization strategies such as data partitioning, indexing, and compression to enhance query performance and reduce computational costs.
Create user-friendly APIs to enable researchers and scientists to easily access and explore the curated data.
Develop scalable, maintainable, and testable software systems and participate in team conversations and efforts on engineering excellence.
Collaborate with product managers, computational biologists, UX designers, and other software engineers to deliver constant incremental value for scientists without compromising on software quality.
Have opportunities to learn about scientific data and technologies, though no prior experience is required!
What You'll Bring
8+ years of relevant software experience
Strong fundamentals in systems design, data structures, algorithms, and object oriented programming principles.
Past experience with data processing and orchestration pipelines, such as Argo Workflows, Databricks
Solid experience with object oriented programming languages and scripting languages, such as Java, C++, Python, Golang, etc.
Past experience with big data.
Some experience with infrastructure and automation tools, such as Kubernetes, Terraform, AWS.
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn a new science domain.
Experience working in a multidisciplinary environment (engineering, product, design).
Desirable but not required: experience with scientific computing libraries, such as NumPy and SciPy.
Compensation

The Redwood City, CA base pay range for this role is $214,000 - $321,000. 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.

#LI-Hybrid

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 Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward. The Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI. The Opportunity By pairing engineers with leaders in our science and education teams, we can bring AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research and improvements in the Education space. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. The Data Engineering and Infrastructure team works on building shared tools and platforms to be used across the Chan Zuckerberg Initiative, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, Computational Biologists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. What You'll Do <ul> <li>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. </li><li>Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature. You'll work on various use cases, from web analytics to complex model training, ensuring data accessibility and performance for teams across CZI. </li><li>Design and implement flexible, scalable, and performant systems to address our stakeholders' needs, leveraging technologies like Argo Workflows and Spark for mass-scale job processing and orchestration; Vast Data, Delta Lake, and Apache Iceberg for data management and access; and cloud and on-prem HPC resources </li></ul>What You'll Bring <ul> <li>Education & Experience: BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience. 7+ years of hands-on coding experience in scripting (Python, PHP, Ruby) and systems languages (Rust, C++, C#, Go, Java, or Scala). </li><li>Data Platform Expertise: Proficiency in managing large-scale data operations, including designing scalable pipelines (streaming and batch), working with varied data types, and optimizing flexible storage solutions using tools like Argo Workflows, Spark, Delta Lake, and Apache Iceberg </li><li>Data Management and Development Operations: Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez. Deep experience working with building CI/CD pipelines for data infrastructure and associated observability and monitoring tooling such as Prometheus, Grafana, OpenTelemetry, Prometheus, or Honeycomb </li><li>Supporting Complex Data and AI ML Workflows: Experience with addressing end to end data needs for working with complex data and delivering this data ready form model training, working directly with AI Researchers and AI Engineers as part of AI model training project teams. Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs) </li><li>Containerization: Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability. </li><li>Cloud & Infrastructure: Strong experience with AWS, GCP, or Azure. Exposure to hybrid environments with on-prem and colocation systems is a plus. Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus). </li><li>Collaboration & Problem Solving: Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions. </li></ul>Compensation The Redwood City, CA base pay range for this role is $214,000-$321,000. 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. <ul><li>CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. </li><li>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. </li><li>CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. </li><li>Paid time off to volunteer at an organization of your choice. </li> <li>Funding for select family-forming benefits. </li> <li>Relocation support for employees who need assistance moving to the Bay Area </li><li>And more! </li></ul> 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

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

Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward.

The Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.
The Opportunity

By pairing engineers with leaders in our science and education teams, we can bring AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research and improvements in the Education space. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.

The Data Engineering and Infrastructure team works on building shared tools and platforms to be used across the Chan Zuckerberg Initiative, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, Computational Biologists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale.
What You'll Do

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.
Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature. You'll work on various use cases, from web analytics to complex model training, ensuring data accessibility and performance for teams across CZI.
Design and implement flexible, scalable, and performant systems to address our stakeholders' needs, leveraging technologies like Argo Workflows and Spark for mass-scale job processing and orchestration; Vast Data, Delta Lake, and Apache Iceberg for data management and access; and cloud and on-prem HPC resources
What You'll Bring
Education & Experience: BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience. 7+ years of hands-on coding experience in scripting (Python, PHP, Ruby) and systems languages (Rust, C++, C#, Go, Java, or Scala).
Data Platform Expertise: Proficiency in managing large-scale data operations, including designing scalable pipelines (streaming and batch), working with varied data types, and optimizing flexible storage solutions using tools like Argo Workflows, Spark, Delta Lake, and Apache Iceberg
Data Management and Development Operations: Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez. Deep experience working with building CI/CD pipelines for data infrastructure and associated observability and monitoring tooling such as Prometheus, Grafana, OpenTelemetry, Prometheus, or Honeycomb
Supporting Complex Data and AI ML Workflows: Experience with addressing end to end data needs for working with complex data and delivering this data ready form model training, working directly with AI Researchers and AI Engineers as part of AI model training project teams. Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs)
Containerization: Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.
Cloud & Infrastructure: Strong experience with AWS, GCP, or Azure. Exposure to hybrid environments with on-prem and colocation systems is a plus. Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus).
Collaboration & Problem Solving: Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions.
Compensation

The Redwood City, CA base pay range for this role is $214,000-$321,000. 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.

#LI-Hybrid

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Software Engineer Chan Zuckerberg Initiative Jobs

Staff Software Engineer Data And Ai Platforms CentralMarch 10, 2025

Staff Software Engineer ScienceMarch 8, 2025

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