Sr. Bioinformatics Programmer

Job ID:
Job date: 2018-02-24
End Date:

Company : NYU School of Medicine 

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Role : Programmer 


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Job Description:
We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer.

The Applied Bioinformatics Center (http://www.med.nyu.edu/ocs/applied-bioinformatics-center ) at the NYU School of Medicine is seeking a highly motivated, enthusiastic individual to join the Bioinformatics team responsible for analyzing genomics data generated in the facility and supporting innovative cutting-edge research conducted by principal investigators at the NYU Langone Medical Center.

This is a great opportunity to quickly acquire new skills, develop and publish new tools and methods, analyze challenging datasets and be a co-author in multiple studies.

Job Responsibilities:

  • Become an expert in various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
  • Perform robust data quality control and validation
  • Design, implement, execute standard pipelines for routine genomics data analyses, and customized pipelines for collaborative research projects
  • Adapt genomic data analysis pipelines in a rapidly evolving research environment
  • Integrate different types of genomics data and prepare concise presentations of computational results
  • Work closely with bench scientists to understand and help accomplish their research goals
  • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
  • Perform robust data quality control and validation
  • Adapt genomic data analysis pipelines in a rapidly evolving research environment
  • Develop novel methods for multi-omics data analysis and integration
  • Perform other duties as assigned by the supervisor
Minimum Qualifications:
  • To qualify you must have a Ph.D. or M.Sc. in Bioinformatics, System Biology, Computer Science or related field
  • Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, microbial phylogeny and microbial ecology)
  • Ability to work independently while collaborating and assisting the team in its common research goals
  • Attention to detail and ability to work on multiple projects is necessary
  • Experience in Unix/Linux systems including HPC environments
  • Scripting languages: Python or Perl
  • Statistical packages: R (preferred) or Matlab.
  • 3+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq)
  • 3+ years of experience creating customized sequencing analysis pipelines
  • Excellent communication skills with proficiency in written and oral English
  • Qualified candidates must be able to effectively communicate with all levels of the organization.


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Additional Info:
NYU School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health , the School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu , and interact with us on Facebook,Twitter and Instagram

NYU School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

NYU School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.

If you wish to view NYU School of Medicine's EEO policies, please

click here to view the Federal "EEO is the law" poster or visithttps://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm

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