Computational Biologist: Algorithm Development

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Job date: 2017-07-20
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Company : 10X Genomics 

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Role : Other 


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Job Description:
10x is looking for an outstanding individual to join its Computational Biology group. This position is a unique opportunity to work on a new form of Next Generation Sequencing (NGS) data that enables many previously unachievable applications. This person will: (1) lead the development of algorithms that use 10x Linked-Read data to solve difficult genomics problems, (2) define custom analyses to guide product development. The ideal candidate will have experience implementing novel methods using techniques such as sequence alignment, text indexing and searching, graph algorithms, combinatorial optimization and probability theory. Experience combining novel and existing tools into effective pipelines is a plus.

The right candidate must also have strong programming skills, and a keen interest in biology and working with real-world data. Strong interpersonal skills, a desire to understand customer needs and the ability to communicate results clearly are a must. This position will interact closely with colleagues in chemistry, biochemistry, microfluidics and software.

Key Responsibilities:

  • Develop algorithms for novel NGS data across a number of novel applications
  • Develop custom analyses to assess and guide development of the core technology
  • Work with software team to commercialize algorithms products
  • Work with early customers to understand applications and requirements
  • Analyze internally generated sequencing data
Desired Skills and Background:
  • PhD in computer science, mathematics, computational/systems biology or related field
  • Strong background in algorithms for sequence analysis and statistics
  • Strong programming ability in Python (experience with C/C++ a significant plus)
  • Hands on experience with NGS data tools (e.g. bwa, samtools, GATK)
  • Experience building and releasing commercial software a significant plus
  • Creative problem solver who obsesses over novel applications of data
  • A deep intuition for the processes utilized by current NGS technologies
  • A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data
  • Highly independent
  • Ability to work in a fast-paced and quickly changing environment


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