Sr. Scientist, 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 Sr. Scientist 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 5 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.

Pay Range

$158,400 — $214,200 USD

Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including skills, qualifications, and experience. At 10x, base pay is just one component of the total compensation package, which also includes equity grants, comprehensive health and retirement benefit programs, and an annual bonus or sales incentive program.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

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