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 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. 

We build open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We fund scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to do research that can’t be done in conventional environments. Each aspect is essential to our approach to building for the long term.

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at 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 AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

The Opportunity

As a Senior/Staff Research Scientist on the AI/ML team you will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. Measurement of biological systems has been revolutionized with modern high throughput techniques generating vast multimodal collections of datasets illuminating the inner workings of cellular systems. You will work as part of a team to leverage large-scale multi-modal biological datasets to create models that transform our understanding of cells. 

You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, 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 single-cell biology, spatial biology, imaging, genomics, genetics, proteomics, and beyond. You will be dedicated to Open Science and deeply engaged with the global scientific communities across AI and computational biology.

What You'll Do

  • Develop, deploy, and maintain innovative machine-learning models that further our understanding of complex biological systems.
  • Solve important problems in life science through the application of state-of-the-art methods in artificial intelligence and machine learning.
  • Implement scalable solutions with respect to complex problems/scientific questions on large-scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, to advance understanding of cell structures, systems, and interactions.
  • Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems.
  • Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.
  • Work with a diverse range of biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography and more.

What You'll Bring

  • Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners in leading-edge cell biology data-driven research.
  • Have a PhD or Masters in computer science (focus on machine learning & data analytics), computational biology, or a related field or equivalent industry experience and at least 5-8 years of experience developing and applying machine learning methods.
  • Have demonstrated experience building and training AI/ML models, ideally but not exclusively to address problems in biology and developing deep learning methods
  • Experience and technical fluency in AI, machine learning, data integration, or computer science on varied large-scale data sets
  • Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
  • Have a proven track record of relevant research publications, preprints, or software packages.
  • An appetite for turning scientific problems into reproducible, rigorously engineered systems based on quantitative evaluation
  • Enthusiasm about open science and helping usher in the age of digital biology

Compensation

The Redwood City, CA base pay range for this role is $214,000 - $321,000 (Staff) or $190,000 - $285,000 (Senior). 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. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring 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!

Commitment to Diversity

We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. 

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 modesbenefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Hybrid 

 

Facebook   X   Instagram   Linkedin   Medium   YouTube
 

Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Voluntary Self Identification

Equal Employment Opportunity & Diversity

We care deeply about equal opportunity and diverse representation in our workforce. In support of these goals, we invite applicants to voluntarily provide demographic information.  This information will not be used in hiring decisions; individuals seeking employment at CZI are considered without regard to race, color, religion, national origin, age, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other protected class. See CZI’s Equal Employment Opportunity Policy

Completing the below is voluntary, but we encourage you to answer, since this information helps CZI evaluate and build our recruiting programs to help us achieve our goal of building a diverse, equitable and inclusive organization. We may also use responses to this form to comply with certain government reporting obligations. All responses will be shared only with limited personnel, who will use that information only for the purposes described in this paragraph. 

If you have any additional questions about why we ask this, what we do with the data, or to share suggestions for improvement, feel free to reach out to diversity@chanzuckerberg.com.

Applicant Privacy Notice

To learn more about how we use the information you submit, please see our Privacy Notice for Job Applicants.

Reasonable Accommodation Notice

CZI provides (and state and federal law requires) reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job (reach out to your recruiter or diversity@chanzuckerberg.com). Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

------------------

Government reporting relies on certain demographic definitions, however, within that framework CZI has attempted to provide an opportunity for additional nuance by way of expanding our questions and providing open text fields for you to add further detail as desired.

What is your gender identity? (Select one)





Are you member of the LGBTQ community? (Select one)




Please identify your veteran status. (Select one)



What is your race/ethnicity? (Select one)






























Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.