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Computational Biologist – Product Development

Organization
10x Genomics
Job Location
6230 Stoneridge Mall Road
Pleasanton, CA 94588
United States
Job Description

We are looking for an outstanding individual to join our Computational Biology group. You will work closely with talented biochemists, microfluidics engineers, chemists and software engineers to develop single-cell and spatial genomic assays. Our products have allowed researchers to study biology at unprecedented resolution yielding insights in diverse fields such as cancer biology, immunology, neuroscience, developmental and basic biology.

You will develop computational methods and analyses to measure and improve product performance during a fast-paced product development cycle. This includes discovering issues through careful analysis of sequencing data and working collaboratively with the interdisciplinary product team to help resolve them. You will also develop metrics and other automated analyses that will eventually be used by customers to benchmark assay performance.

You have a strong background in statistics, data analysis and you are deeply knowledgeable about existing genomic assays and the subtleties of NGS data. You are a good programmer who can take an idea and quickly implement it in code. You are able to communicate your ideas and work effectively with an interdisciplinary team and incorporate their feedback into your analysis. You are a strategic thinker, highly motivated, action driven and flexible in changing direction and methods. You thrive in a fast paced environment, excel at managing multiple priorities, communicate clearly and get the job done.

Key Responsibilities

  • Establish prototype NGS processing pipelines for novel genomic assays
  • Develop analysis tool to measure and guide development of genomic assays
  • Use exploratory analysis and statistical models to troubleshoot and optimize the assay
  • Build statistical analyses into robust tools for monitoring performance over time
  • Define experimental metrics for measuring assay quality, and determine goals & priorities for assay development work.
  • Design proof-of-concept experiments, analyze and interpret the data to demonstrate the unique power of the 10x Genomics platform internally and externally
Requirements

Required Skills and Background

  • PhD or MS plus equivalent experience in a quantitative field (e.g. physics, mathematics, computer science, electrical engineering, computational/systems biology or related field)
  • Ability to quickly conceive and implement custom statistical methods and algorithms and apply them to large data sets
  • Ability to work in a fast-paced and quickly changing environment
  • Ability to communicate complex ideas with an interdisciplinary team
  • Has experience with the analysis of NGS data
  • Ability to work independently

Desired Skills and Background  

  • Strong programming ability in Python or R
  • A deep intuition for the processes utilized by current NGS technologies
  • Creative problem solver who obsesses over finding useful information in data
  • Hands on experience with NGS data tools (e.g. bwa, samtools, GATK)
  • A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data
  • Strong interest in applying analytical tools to solve important and interesting biological problems
About Our Organization

10x Genomics is building tools for scientific discovery that reveal and address the true complexities of biology and disease. Through a combination of novel microfluidics, chemistry and bioinformatics, our award-winning Chromium™ System is enabling researchers around the world to more fully understand the fundamentals of biology at unprecedented resolution and scale. Learn more at 10xGenomics.com

 #GOEXPONENTIAL

Fueled by equal parts scientific vision and determined passion, we are delivering unprecedented innovation to short-read sequencing technologies and transforming how genomic information is accessed. You will feel the 10x difference the moment you enter our offices and labs. There’s a dynamic energy here, and we’re looking for the best of the best to be a part of it. We are seeking talented professionals excited to build new technology that advances scientific research while growing their career within a dynamic, supportive environment.

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