National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Manager, Data Science, Science

Chan Zuckerberg Initiative
London
5 days ago
Create job alert

in accelerating science.

The Opportunity


The Senior Data Science Manager will lead a team that will define and create the datasets and covariates required to train a Virtual Cell model that understands how each cell type functions at a molecular level under healthy conditions, and is able to predict the impact on cells and cell populations of genetic or environmental perturbations. You and your team will partner closely with our Science Program team to partner or generate the required datasets, with Data Engineering and ML Engineering to decide data formats, schemas, and access patterns, and with AI Research to define the annotations, covariates, and quality measures required to use the data. 


CZI manages and processes scientific datasets specifically designed to enable biological modeling. We are generating more than 1 billion fully standardized unique cells worth of single cell transcriptomic data, and are building imaging and mass spectrometry data streams which will generate petabytes of data per year. Datasets we produce are ultimately published in public resources such as CELLxGENE Discover and CryoET Portal which provide access to open source data used by tens of thousands of scientists each month to quickly form hypotheses about how genetic variants in cells impact disease risk, define drug toxicities, and eventually discover better therapies.


As the Senior Data Science Manager, you will manage and grow a team of data scientists who are embedded in cross-functional, AI-modeling focused teams and are responsible for leading dataset definition and delivery to support modeling work. Success is measured by the speed with which datasets are available, the ease with which they can be used, the suitability of the dataset to address the modeling task, and the clarity with which data quality is available to the research team. 


What You'll Do

Manage a team of data scientists to create high quality, standardized datasets for biological AI modeling and open-source publishing.


Hire multiple data scientists who are experts in the data domains that we operate (imaging, sequencing, mass spectrometry)
Establish systems and processes to ensure agility and responsiveness to emerging needs from the rapidly evolving AI biology space.
Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
Establish and nurture cross functional teams composed of ML engineers, AI Researchers, and Data Engineers to deliver datasets to train state of the art generative AI models and publish them for public consumption.

What You'll Bring

10+ years of experience with biological data, including experience with both imaging and sequencing data modalities.


Have delivered multiple large data products, at least one of which contains a significant component of sequencing and imaging data.
5+ years managing teams, including management of hybrid/remote teams.
Experience with big data: extraction, transport, loading, databases, standardization, and data validation.
Strong fundamentals in statistical reasoning and machine learning.
Experience with image and sequence data analysis and QC best practices
Experience with processing and orchestration pipelines, such as ,
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (engineering, product, design).

Compensation


TheRedwood City, CAbase 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. 


Pay ranges outside Redwood City (New York and Chicago) are adjusted based on cost of labor in each respective geographical market. 


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 , , and at .

Related Jobs

View all jobs

Senior Manager (Data Science)

Methods Validation Manager

Methods Validation Manager

Methods Validation Manager

Methods Validation Manager

Tax Tech Solution / Sales Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.