Senior Staff Data Scientist, Imaging, Data

Senior Staff Data Scientist, Imaging, Data

Redwood City, CA (Hybrid)

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

The Team

Biohub 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 novel imaging technologies to map, measure and model complex biological systems

Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases

Harnessing the immune system for early detection, prevention, and treatment of disease

The Opportunity

At Biohub, we are generating unprecedented scientific datasets that drive biological modeling innovation :

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations

10s of thousands of donor-matched DNA & RNA samples

PB-scale static and dynamic imaging datasets

TB-scale mass spectrometry datasets

Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high‑quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You'll Do

Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines.

Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.

Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.

Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You'll Bring

10+ years of experience with large scale biological imaging data.

Demonstrated delivery of multiple large biological data products.

Experience with big data : extraction, transport, loading, databases, standardization, validation, QC, and analysis.

Strong fundamentals in statistical reasoning and machine learning.

Experience with biological data 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 multidisciplinary environment (engineering, product, AI Research).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. 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.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager’s discretion and communicated during 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.

Provides a generous employer match on employee 401(k) contributions to support planning for the future.

Paid time off to volunteer at an organization of your choice.

Relocation support for employees who need assistance moving

Reasonable Accommodation Notice

We provide (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 accommodations@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.

For reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in the organization’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. Classification of protected categories is as follows :

A "disabled veteran" is one of the following : a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

#J-18808-Ljbffr