Scientist II, Clinical Bioinformatics

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Scientist II, Clinical Bioinformatics Pleasanton, California, USA HQ About The Role 10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights. The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics. What You Will Be Doing: Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis. Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets. Design, implement and validate biomarkers for diagnostic applications. Implement and maintain bioinformatics pipelines for reproducible, large-scale data processing. Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples. To Be Successful, You Will Need: Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis. A minimum of 2 years of industry experience post Ph.D. Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers. In-depth understanding of the assumptions, limitations and caveats of statistical methods. Experience developing and optimizing high-performance, scalable

Read the full description at boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.