Senior Data Scientist

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 behaviorDeveloping state-of-the-art imaging systems to observe living cells in actionInstrumenting tissues to better understand inflammation, a key driver of many diseasesEngineering and harnessing the immune system for early detection, prevention, and treatment of disease As a Senior Data Scientist, you'll lead the creation of groundbreaking datasets that power our AI/ML efforts within and across our scientific grand challenges. Working at the intersection of data science, biology, and AI, your work will focus on creating large, AI-ready datasets, spanning single-cell sequencing, immune receptor profiling, and mass spectrometry peptidomics data. You will define data needs, format standards, analysis approaches and quality metrics and build pipelines to ingest, transform, and validate data products that form the foundation of our experiments. Our Data Ecosystem: These efforts will form a part of, and interoperate with our larger data ecosystem. We are generating unprecedented scientific datasets that drive biological innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations10s of thousands of donor-matched DNA & RNA samples10s PBs-scale static and dynamic imaging datasets100s TBs-scale mass spectrometry datasetsDiverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. When analysis of a dataset is complete, you will help publish it through public resources like CELLxGENE Discover, the CryoET Portal, and the Virtual Cell Platform, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. Your Impact You'll collaborate with cross-functional teams to lead dataset definition, ingestion, transformation, and delivery for AI modeling and experimental analysis. Success 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 Contribute the tools required for a robust 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 Platform Scientists, ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to improve our biological understanding of inflammation.Work closely with Platform Scientists to identify technical variables and devise approaches to harmonize data across generation sites to enable joint analysis.Discover and define new data generation opportunities, and manage the delivery of those data products to our scientific teams. What You'll Bring 10+ years of experience with large scale high throughput biological data (single cell sequencing, immune receptor profiling, mass spectrometry).Demonstrated ability to deliver 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 practicesExcellent written and verbal communication skills.Enthusiasm to ramp up on technologies and learn new domains.Experience working in a multidisciplinary environment (scientific platforms, engineering, product, AI Research). Compensation The Redwood City, CA base pay range for this role is $190,000 - $261,800. 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. Work Mode 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 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. Reasonable Accommodation NoticeWe 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. #J-18808-Ljbffr