Scientist II, Clinical Bioinformatics

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 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.

Preferred Skills

• 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