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Associate Bioinformatics Scientist

San Diego Metro Area, California

Post Date: 09/05/2017 Job ID: JN -092017-19946
Description:
  • Help in configuration and interpretation of data analysis NGS results to support current CLIA lab operations and assay development experiments
  • Help design and interpret statistically powered studies to support test/lab improvements
  • Assist in analysis of massively parallel sequencing (NGS) genomic data
  • Work collaboratively with other bioinformatics and research scientists to support QC assessment and standardized analysis protocols for each of the projects as appropriate
  • Work with the Bioinformatics team to implement new analysis methods in the pipelines based on R&D prototypes
  • Coordinate tasks such as collection of requirements, software verification and validation
  • Communicate findings to the research scientists and present results to the R&D, process engineering teams, and geneticists
  • Develop new lab reports or customize existing ones to meet specific scientific project needs
Skills:
  • Must have minimum of 1+ years of experience in a similar position including general experience in Life Sciences, Genomics, CLIA lab or Pharmaceutical industries.
  • Experience with C++, Java or Python is required
  • Experience with supporting / using bioinformatics pipelines
  • Experience with genomic analysis of sequencing data and/or working with genetic variant data is desired
  • Experience with statistical analysis of multivariate data
  • Experience with databases such as MS SQL and Postgres
  • Expertise with issue tracking and revision control systems
  • Understanding of security and privacy considerations
  • Experience with implementation of CLIA and FDA guidelines in a regulated/design controlled environment is a plus
  • Ability to work independently with minimal supervision
  • Ability and willingness to work in a fast paced environment
  • Excellent time and project management skills.
  • Must have proficient written, communication and presentation skills with the ability to present to both scientific and corporate audiences.
Education:
Bachelors/Masters in Bioinformatics, Computer Science, Statistics or related field is highly desirable.

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