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Position: Bioinformatics Scientist
Institution: Thermo Fisher Scientific
Location: Ann Arbor, Michigan, United States
Duties: Work in a collaborative environment with other bioinformatics, software, instrument, molecular biology, program management and product management colleagues to build high quality products; Develop sophisticated and custom bioinformatics analyses and algorithms to support development of targeted sequencing assays; Guide molecular biologists with data interpretation and analysis in areas such as variant calling, CNV detection, RNA fusion detection and genome annotations
Requirements: PhD in bioinformatics, computer science, mathematics, statistics, or a related field (MS considered for candidates with relevant experience); PhD with 0-3 years experience OR MS with 3-5 years industry experience required; A solid knowledge of next-generation sequencing (NGS) analysis, statistics and data analysis principles as demonstrated by your industry experience or publication history; Experience with algorithm development and scientific computing, particularly as related to developing bioinformatics analysis methods and algorithms for NGS data
   
Text: Bioinformatics Scientist Work in a collaborative environment with other bioinformatics, software, instrument, molecular biology, program management and product management colleagues to build high quality products; Develop sophisticated and custom bioinformatics analyses and algorithms to support development of targeted sequencing assays; Guide molecular biologists with data interpretation and analysis in areas such as variant calling, CNV detection, RNA fusion detection and genome annotations PhD in bioinformatics, computer science, mathematics, statistics, or a related field (MS considered for candidates with relevant experience); PhD with 0-3 years experience OR MS with 3-5 years industry experience required; A solid knowledge of next-generation sequencing (NGS) analysis, statistics and data analysis principles as demonstrated by your industry experience or publication history; Experience with algorithm development and scientific computing, particularly as related to developing bioinformatics analysis methods and algorithms for NGS data
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