Sr. Scientist, Clinical Bioinformatics

10x Genomics Inc; Pleasanton (CA); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

10x Genomics Inc. is expanding its clinical bioinformatics team to translate single-cell and spatial technologies into clinical diagnostics.

The Senior Scientist will distill biological questions into computational strategies, implement robust analyses, and drive biomarker development for diagnostic use. The role emphasizes rigorous statistics, scalable software, and processing large datasets to derive clinically meaningful insights.

Competenze

• PhD in bioinformatics, computational biology, genomics or related field with extensive hands-on experience in single-cell NGS data analysis.
• 5+ years of industry experience after PhD.
• Experience developing and optimizing high-performance, scalable code.
• Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.

Mansioni

• Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis.
• Implement and maintain bioinformatics packages and pipelines for reproducible, large-scale data processing.
• Design, implement and validate biomarker scores for diagnostic applications.
• Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.
• Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.

Conoscenze

Statistical methods

Linux

High-performance code

Bioinformatics analysis

Biomarker discovery

Formazione

PhD in bioinformatics, computational biology, genomics or related field

Strumenti

Snakemake

Nextflow

Martian

Git / Version control

Descrizione del lavoro

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 Senior Scientist to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods with robust software development practices and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.

The role requires statistical and software development rigor, proficiency with large-scale bioinformatics analyses and strong scientific acumen. 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.
• Implement and maintain bioinformatics packages and pipelines for reproducible, large-scale data processing.
• Design, implement and validate biomarker scores for diagnostic applications.
• Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.
• Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.

Minimum Requirements:

• Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis.
• 5+ years of industry experience after Ph.D
• In-depth understanding of the assumptions, limitations and caveats of statistical methods.
• Experience developing and optimizing high-performance, scalable code.
• Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
• 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 & Experience:

• Hands‑on experience with 10x Genomics in-situ or single-cell transcriptomics technologies is a strong preference
• Development of statistical models and algorithms for spatial or single-cell transcriptomics data
• Creative and thoughtful application of machine learning and AI, 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
• Hands‑on research experience in cancer research/oncology
• Knowledge of clinical genomics, biomarker discovery and diagnostics

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.

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.