Computational Biology Lead: Product Development

10X Genomics

(Pleasanton, California)
Full Time
Job Posting Details
About 10X Genomics
Sequencing technology fueled advances in applications such as SNP identification and molecular quantitation at a massive rate and scale, but a significant amount of critical genetic information remains inaccessible.
Summary
10x Genomics is looking for an outstanding individual to join its Computational Biology group. This person will build and manage the team that leads development of analytical frameworks and computational methods for investigating the performance of all components of the core technology and the impact of these on application development. These efforts drive the prioritization of technology development within the company. This position is a unique opportunity to work on an exciting and novel form of Next Generation Sequencing (NGS) data that enables a wide array of previously unachievable applications. The ideal candidate will have an extremely strong background in statistics and data analysis. He or she will also be deeply knowledgeable about existing NGS technologies and have a keen intuition for NGS data specifically and for data in general. The right candidate must also have strong programming skills, and a deep interest in biology. Strong interpersonal skills, experiencing managing a group, and the ability to communicate results clearly are a must. This position will interact closely with colleagues in biochemistry, microfluidics, chemistry and software.
Responsibilities
* Lead a team to analyze all aspects of data from 10x’s new products * Develop custom analyses to assess and guide development of the core technology * Create statistical models to understand root causes of errors * Work with lab scientists to design and prioritize experiments for understanding complex systems and assays * Build statistical analyses into robust internal tools for monitoring performance over time * Define and prioritize the development of experimental metrics for tracking performance improvements * Build out simulation frameworks to explore performance under wide array of conditions
Ideal Candidate
* PhD in quantitative field (e.g. physics, mathematics, computer science, electrical engineering, computational/systems biology or related field) * 5 – 7 years experience * Experience managing a team * Ability to quickly develop custom statistical methods and algorithms and apply them to large data sets * Strong programming ability * 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 * Ability to work in a fast-paced and quickly changing environment

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