Associate Research Scientist : New York, NY, United States

Job ID: 617549
Job date: 2017-06-19
End Date:

Company : Herbert Irving Comprehensive Cancer Center 

Country :

Role : Research Scientist 


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Job Description:
The Herbert Irving Comprehensive Cancer Center is seeking an Associate Research Scientist for its Biomedical Informatics Share Resource (BISR, http://cancer.columbia.edu/research-group/biomedical-informatics ). The BISR supports the computational biology and bioinformatics needs of investigators throughout the Cancer Center on a wide range of projects in the areas of Cancer Research, including the analysis of gene expression, polymorphism, sequence, microRNA, and epigenomics data. The successful candidate will be able to work and thrive at the interface between laboratory science and computational biology. This position requires a PhD in a domain related to biomedical research and bioinformatics. Applicants should have a strong background in the analysis of genomic data and, in particular, of gene expression profile data. The ideal candidate will be able to complement this experience with programming skills to extend existing tools and develop new tools as required by the task.

The candidate will be expected to work with scientists to understand project requirements and to provide advice and guidance on bioinformatics solutions. As a result, he or she must possess excellent interpersonal and communication skills. Projects may involve the analysis of microarray and RNA-Seq gene expression data, including differential expression analysis, pathway enrichment analysis, computational methods for supervised and unsupervised learning, as well as integrative approaches utilizing systems biology methods. The candidate may also work with programming staff in designing and implementing larger scale solutions for specific projects.

  • PhD in Computational Biology, Bioinformatics, Genetics, or equivalent field.
  • Experience in the analysis of next generation sequencing data.
  • Fluency with R/Bioconductor at with at least one general-purpose programming language such as Python.
  • Excellent communication skills and ability to work as member of a team.
  • Strong creative thinking and organizational skills with demonstrated experience in problem solving and programming for bioinformatics projects.
  • Experience in genotyping data analysis, both GWAS and exome/whole-genome sequencing, as well as in the analysis of proteomics/metabolomics data. Experience working with a relational database system such as MySQL would be very helpful, as would some proficiency in the PHP programming language.


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