Staff Scientist-Bioinformatics Signal Processing

Eve Biomedical
Job Location
Redwood City, CA
Job Description


  • Design and implement data analysis tools for our single-molecule DNA sequencing platforms including base-calling, sequence alignment algorithms and sequence assembly.
  • Collaborate with the Molecular Biologists to create models and algorithms to extract meaningful signals from raw data.
  • Integrate algorithms with existing data-analysis pipeline.
  • Refine and improve existing data analysis tools.
  • Effectively collaborate with inter-disciplinary team.
  • Provide clear and concise professional reports on data analysis and results.
  • Provide high quality documentation for newly developed software and approaches.
  • Contribute to publications on experimental data generated by our new sequencing approaches.
  • Ph.D. in Physics, Biophysics, Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or equivalent field. MS in equivalent field with five or more years of relevant industry experience.
  • Expert in data analysis (signal processing, pattern recognition, machine learning).
  • Experience in analysis of time domain signals is highly desirable.
  • Expert knowledge of statistical tools, applied statistics and interpretation of data
  • Stated above Experience in programming languages such as Python, Java, C++, C#, and/or Matlab, and operating systems such as Linux in a cluster environment.
  • Experience in analysis of single particle/molecule data is a plus.
  • Experience with analysis of sequencing data and genome assembly is a plus.
  • Demonstrated skills to troubleshoot data analysis problems and make recommendations.
  • Effective oral and written communication and interpersonal skills. 
About Our Organization

EveBiomedical is an early stage SiliconValley start-up focused on developing novel platforms for single-molecule DNA sequencing.  Our goal is to develop affordable sequencing technology to enable widespread use of genomic and personalized medicine.  We are seeking a highly motivated and creative individual to contribute to our sequencing data analysis effort.


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