Research Associate / Senior Research Associate Biomarker Development – Foundation Medicine, Inc. – Cambridge, MA

Job ID: 5159
Job date: 2016-02-08
End Date:

Company : Foundation Medicine 

Country :

Role : Research Scientist 


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

The Research Associate will be responsible for assisting the development of clinical diagnostic assays and biomarker signatures for pharmaceutical partners through research, implementation, and validation of advanced computational methods. The successful candidate will possess strong analytical skills, solid programming experience, a high level of professional maturity, and ability to consistently meet deadlines under pressure.

Responsibilities:
Development and validation of clinical diagnostic assays for pharmaceutical partners based on massively parallel sequencing (next-generation sequencing, NGS) data. Development, analysis and testing of advanced computational methods to enhance FM’s clinical diagnostic platform with an emphasis on rigorously validated results and robust procedures to bring methods to the operational level. Delivery of novel biomarker signatures based on NGS to pharmaceutical partners and academic collaborators, with an emphasis on accuracy and timeliness. Assume responsibility for developing annotated genomic profiles of somatic aberrations based on NGS, in the context of studies of cancer-patient samples. Collaborate with other technical teams in specifying requirements for tools to enhance workflow efficiency and robustness Assist with drafting and completing manuscripts for publication; manage data analysis and interpretation of study results throughout manuscript publication process from draft through submission and acceptance.
Qualifications:
Minimum BS in Bioinformatics, Biology, Biomedical Engineering, Computer Science, Mathematics or a related field with a significant quantitative base.

Ability to develop and rigorously test computational biology methods using a scripting language such as Python

Possess extensive scientific understanding of genetics and genomics, have technical proficiency and creativity, and show a strong capacity for independent thinking

Experience with bioinformatics tools and databases (NCBI, UCSC Genome Browser, IGV)

D ESIRED S KILLS AND E XPERIENCE

Experience with writing code for data analysis

Knowledge of genomics, cancer genetics and/or NGS data analysis

Substantive research experience in rigorous academic setting

Experience working within a CLIA certified clinical diagnostics laboratory


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