10x Genomics
Scientist II, Clinical Bioinformatics
About the role
10x Genomics is building out a clinical diagnostics division and needs a Scientist II in clinical bioinformatics to translate single-cell and spatial transcriptomics technologies into real-world clinical applications. You'll tackle complex biological problems by developing computational and statistical approaches, then apply them to massive datasets to uncover clinically relevant findings. The work spans biomarker design, pipeline development, and validation across hundreds or thousands of samples processed with 10x's cutting-edge platforms. The ideal candidate holds a Ph.D. in bioinformatics, computational biology, genomics, or related field, with at least two years of post-doctoral industry experience and demonstrated expertise analyzing large-scale single-cell or spatial datasets. You'll need strong statistical reasoning, proficiency in Linux environments, and the ability to write robust, scalable code. Independent problem-solving, meticulous attention to detail, and a biology-focused mindset are essential. This full-time role based in Pleasanton, California offers a base salary of $123,400–$167,000 USD plus equity grants, comprehensive benefits, and an annual bonus. Prior hands-on experience with 10x technologies or research in cancer and autoimmune disease is highly preferred, as is familiarity with machine learning, workflow frameworks like Snakemake or Nextflow, and high-performance computing infrastructure.
Full job description
Expand to read the complete role requirements.
Full job description
Expand to read the complete role requirements.
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
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 one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.
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.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. 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. Find out how you can make a 10x difference.
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.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.
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