Senior Data Scientist, GenomicsEpigenetics, Science

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

CZIswork 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

At CZI 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 Data Scientist youll lead the creation of groundbreaking omics 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 youll 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 Youll Do

• Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines select data formats standards and database schemas and write validation tools QC approaches 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 CZIs open data ecosystem.

What Youll Bring

• 5 years of experience with large scale genomic and/or epigenomic datasets.
• Demonstrated delivery of large biological data products.
• Experience with big data: extraction transport loading databases standardization validation QC and analysis.
• Experience with processing and orchestration pipelines such as Argo Workflows Databricks
• 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 $190000 - $261800. 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 were 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 teams manager. The exact schedule will be at the hiring managers discretion and communicated during the interview process.

Benefits for the Whole You

Were 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 youre interested in a role but your previous experience doesnt 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.

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