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Senior Bioinformatics Engineer

Natera

RemoteSoftware Development
SalaryUSD $129,100~$161,450
PythonBioinformaticsGenomicsData AnalysisAlgorithm development
Role brief

POSITION LOCATION:

Position is available as a hybrid position in San Carlos, Bay Area, California as well as a remote position.

POSITION SUMMARY:

Natera is currently seeking a Senior Bioinformatics Engineer to join our Bioinformatics Research Team focused on Epigenomics in Oncology. Natera’s mission is to change the management of disease worldwide by using information gained from a simple blood draw to detect disease early and proactively inform treatment. The ideal candidate should have a strong background in algorithm development, software engineering, genomics, and sequencing data processing. 

RESPONSIBILITIES:   

  • Design, implement, and validate innovative and optimized algorithms and statistical methods to analyze large-scale data sets related to cancer detection
  • Develop optimized, scalable, robust, maintainable, and well documented production-level code by following the best practices in software development
  • Foster a culture of innovation, collaboration, and scientific excellence
  • Contribute to experimental design and ensure data integrity and quality control

QUALIFICATIONS: 

  • MS/PhD in Bioinformatics, Computer Science, Computer Engineering, Statistics, or related field with a strong focus on cancer epi/genomics

KNOWLEDGE, SKILLS, AND ABILITIES: 

  • Track-record of developing state-of-the-art computational methods
  • Highly experienced in software engineering, algorithm development, and sequencing data analysis, preferably proven through development of production-level software
  • Great understanding and experience of best practices in software development including object-oriented design principles, testing, version control tools, code review, and documentation
  • Experienced in code profiling to identify opportunities for code optimization in terms of runtime and memory usage
  • Deep understanding of sequencing data
  • Expert in coding Python and using its scientific library stack including Numpy and Pandas
  • Expert in coding C++ or Rust
  • Expert in using Linux command-line tools and writing shell scripts
  • Familiarity with Docker and AWS is preferred
  • Ability to perform hypothesis driven research, visualize findings and summarize results in oral and written form
  • High scientific rigor and eager to teach and learn about new computational methods and biology