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.
Pay Range
$123,400 — $167,000 USD
Actual base pay depends on skills, qualifications, and experience. This role is also eligible for equity grants, health/retirement benefits, and annual bonus or sales incentive programs.
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us—it is a commitment. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future.
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.
