Scientist II, Clinical Bioinformatics at 10x Genomics

Pleasanton, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

167000.0

Posted On

27 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bioinformatics, Computational Biology, Genomics, Single-Cell NGS, Data Analysis, Statistical Methods, Linux, Machine Learning, Biomarker Discovery, High-Performance Computing, Cloud Computing, Programming, Data Processing, Reproducibility, Version Control, Debugging

Industry

Biotechnology Research

Description

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. Pay Range $123,400--$167,000 USD 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.

Responsibilities

The Scientist II will implement computational/statistical methods for analyzing single-cell and spatial transcriptomics data and derive actionable insights for clinical applications. They will also design and validate biomarkers for diagnostic purposes and maintain bioinformatics pipelines for large-scale data processing.