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Position: Bioinformatician II
Institution: Mount Sinai Health System
Location: United States
Duties: Managing large datasets collected from multiple sequencing platforms; Automating data processing pipelines; Applying machine learning to identify patterns in large and complex datasets; Developing novel statistical strategies and algorithms; Data visualizations; Generate and pursue novel ideas to improve and draw insights from multi-omics long read and single cell genomics platforms
Requirements: M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered; 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets; Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++
   
Text: Bioinformatician II Managing large datasets collected from multiple sequencing platforms; Automating data processing pipelines; Applying machine learning to identify patterns in large and complex datasets; Developing novel statistical strategies and algorithms; Data visualizations; Generate and pursue novel ideas to improve and draw insights from multi-omics long read and single cell genomics platforms M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered; 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets; Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++
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