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Associate Bioinformatics Data Scientist​/Computational Biologist; Single-Cell Multi-Omics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Chan Zuckerberg Biohub
Full Time position
Listed on 2026-06-26
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Biomedical Science, Biotech Research
Salary/Wage Range or Industry Benchmark: 72000 - 99000 USD Yearly USD 72000.00 99000.00 YEAR
Job Description & How to Apply Below
Position: Associate Bioinformatics Data Scientist/Computational Biologist (Single-Cell Multi-Omics)

The Chan Zuckerberg Biohub San Francisco (CZ Biohub SF) is an independent nonprofit research institute that brings together Stanford, UC Berkeley, and UC San Francisco into a single collaborative technology and discovery engine. CZ Biohub SF supports bright, bold engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies.

Our

Vision
  • We pursue large scientific challenges that cannot be pursued in conventional environments.
  • We enable individual investigators to pursue their riskiest and most innovative ideas.
  • The technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyond.
The Opportunity

The Data Science platform at CZ Biohub SF is seeking an Associate Bioinformatics Scientist/Computational Biologist to join a team of computational biologists and data scientists. We develop computational methods, pipelines, and software that enable Biohub’s research across quantitative cell biology and infectious disease. In this position, you will closely collaborate with biologists and engineers from research groups such as the Royer group and the Balla group.

Potential

projects include
  • Developing workflows to process and analyze single‑cell multi‑omics datasets to gain a holistic view of transcriptional regulation during zebrafish development.
  • Participating in data integration across multiple modalities to create a resource for the broader scientific community.
  • Contributing to interactive web portals for in silico genetic perturbations on developing zebrafish at whole organism scale.
You will
  • Contribute to scientific discovery via analysis of single‑cell multi‑omics datasets (transcriptomic, epigenomic, and/or proteomic).
  • Participate in developing bioinformatics tools and web portals.
  • Optimize and execute data processing pipelines in an HPC environment.
  • Partner with biologists to conduct data mining and exploratory data analysis.
  • Author publications and disseminate research discoveries to the scientific community.
You have
  • S. or M.S. degree in Data Science, Computational Biology, Bioinformatics, or a related discipline.
  • A minimum of 2 years of experience with scientific programming languages and data science workflows (e.g., Python, R, Git, UNIX command line).
  • Familiarity with professional software development best practices (documentation, version control).
  • Proven ability to implement exploratory data analysis and statistical inference in scientific research.
  • A collaborative, team‑focused mindset coupled with outstanding communication skills and the ability to work in an agile environment.
Nice to have
  • Experience with single‑cell RNA‑seq data analysis and/or other multi‑dimensional omic data modalities.
  • Familiarity with concepts of molecular biology, cell biology, genomics, and biostatistics.
  • Experience with high‑performance computing clusters and job schedulers such as Slurm.
  • Enthusiasm for systems biology and development of open‑source software.
  • Experience with machine learning algorithms to extract insights from complex datasets.
  • Research experience in academic laboratories is highly preferred.
Compensation
  • $72,000 – $99,000
What We Provide
  • Resources to disrupt and innovate at the frontiers of biology and disease.
  • A collegial and collaborative environment of diverse expertise.
  • Existing collaborations within CZ Biohub across technology platforms and research group leaders.
  • Access to collaborators, resources, and facilities at partner universities and organizations.
  • Competitive compensation and benefits commensurate with experience.
Benefits

We offer a robust benefits program that includes healthcare coverage, life and disability insurance, commuter subsidies, family planning services, childcare stipend, 401(k) match, flexible time off, and a generous parental leave policy. We also honor our commitment to career development through regular onsite opportunities to learn from leading scientists.

Equal Opportunity Employer

The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas, and perspectives. We do not discriminate based on age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

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Position Requirements
10+ Years work experience
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