Staff Scientist-Bioinformatics Signal Processing

Organization
Eve Biomedical
Job Location
Redwood City, CA
Job Description

Responsibilities:

  • 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.
Requirements
  • 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.

 

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.