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Scientist II, Clinical Bioinformatics

10xgenomics.com Logo

10x Genomics

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Location:
United States , Pleasanton

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Contract Type:
Not provided

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Salary:

123400.00 - 167000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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 code
  • Proficiency working in a Linux environment
  • Goal-oriented, self-motivated and an independent problem solver
  • Meticulous attention to detail and a conscientious work ethic.

Nice to have:

  • Hands-on experience with 10x Genomics single-cell and in-situ transcriptomics technologies is a strong preference
  • Hands-on research experience in cancer or autoimmune diseases is a strong preference
  • Knowledge of clinical genomics, biomarker discovery and diagnostics
  • Development of statistical models and algorithms for single-cell or spatial transcriptomics data
  • Application of machine learning, particularly in the context of genomics
  • Proficiency with workflow orchestration frameworks such as Snakemake, Nextflow or Martian
  • Programming best practices including data analysis reproducibility, version control, design patterns, testing, debugging and profiling
  • Track record of writing production-level code or maintaining published software packages
  • High-throughput computing infrastructure such as HPCs or cloud computing
What we offer:
  • Equity grants
  • Comprehensive health and retirement benefit programs
  • Annual bonus program or sales incentive program
  • Generous time off
  • Competitive and comprehensive health benefits package
  • Easy-to-use benefits that promote wellbeing
  • Family friendly policies like parental leave

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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