Bioinformatics Analyst, Cancer

Organization
New York Genome Center
Job Location
New York, NY 10013
Job Description
  • Analyze cancer sequencing data using established pipelines;
  • Contribute to the development of novel pipelines for cancer genomics;
  • Establish and perform appropriate QC measures;
  • Implement, maintain and document data analysis pipelines and workflows;
  • Benchmark new tools for cancer sequencing data analysis and propose improvements;
  • Collaborate with internal and external researchers on interpretation of sequencing data;
  • Present results in written or oral reports for bioinformatics scientists and internal researchers;
  • Collaborate with bioinformatics scientists in preparing manuscripts and external presentations.
Requirements
  • MS with 2+ years work/research experience in bioinformatics, computer science, biology, biochemistry or similar;
  • 1+ years demonstrated exposure to NGS data analysis; experience using standard NGS analysis software (including samtools, GATK, Picard, bedtools, etc);
  • Experience in cancer genomics; experience with somatic variant calling a plus;
  • Programming skills in R, Python, Perl, BASH or similar;
  • Programming skills in C++ or Java a plus;
  • Experience working in a Linux environment;
  • Experience using an SGE cluster preferred;
  • Experience working with TCGA, COSMIC, 1000 Genomes, ENCODE, or GTEx data a plus;
  • Training in statistics or machine learning a plus;
  • Team oriented with excellent written and verbal communication skills.
How to Apply

To apply, visit http://nygenome.org/careers

About Our Organization

The New York Genome Center (NYGC) is an independent, non-profit organization that leverages the collaborative resources of leading academic medical centers, research universities, and commercial organizations. Our vision is to transform medical research and clinical care in New York and beyond through the creation of one of the largest genomics facilities in North America, integrating sequencing, bioinformatics, and data management, as well as performing cutting-edge genomics research.

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