Clinical Bioinformatics Analyst, I – Foundation Medicine, Inc. – Cambridge, MA

Job ID: 5576
Job date: 2016-05-16
End Date:

Company : Foundation Medicine 

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Role : Research Scientist 


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Job Description:
Foundation Medicine is dedicated to helping bring personalized cancer medicine into routine clinical practice. Harnessing advanced technology, Foundation Medicine is developing clinical laboratory tests that will broadly capture the most relevant tumor genomic and other molecular information in a single test, and connect it with relevant scientific and medical knowledge to help oncologists determine the right treatment for each patient.

The Clinical Bioinformatics Analyst will be responsible for analysis and delivery of NGS sequence data in a high-complexity clinical diagnostic laboratory to clinicians, pharmaceutical partners, and academic collaborators. In addition the position will be responsible for collecting and presenting quality metrics and reviewing variant reports. The successful candidate will possess a high level of professional maturity, an ability to consistently meet tight deadlines under pressure, exquisite attention to detail and an obsession with quality.

Responsibilities: Assume responsibility for developing annotated genomic profiles of somatic aberrations based on massively-parallel sequencing (NGS) data, in the context of studies of cancer-patient samples Review genomic variant calls using proprietary and publicly available tools (e.g. IGV) in collaboration with the scientific team Provide test results according to SOP with the best possible quality within defined turn-around times Collaborate with technical teams in specifying requirements for tools to enhance workflow efficiency and robustness This position may require weekend or off-hours shift work
Qualifications: Minimum BS in Bioinformatics, Biology, or a related scientific field. MS preferred. Experience with bioinformatics tools and databases (NCBI, UCSC Genome Browser, IGV) Scripting ability in Python or Perl Facility with UNIX environment Desired Skills and Experience
Working knowledge of cancer genetics and experience with Next-Generation Sequencing (NGS) Substantive genomics research experience in rigorous academic setting Experience working within a CLIA certified clinical diagnostics laboratory


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