Bioinformatics Scientist New York Genome Center - New York, NY

04:22 - Leave a Comment
NYGC LogoNYGC is hiring for a variety of positions. If you are interested in joining our innovative organization and helping it launch and grow, we would like to hear from you. Please email your cover letter and resume/CV to careers@nygenome.org .

Position Description:

The New York Genome Center is looking for a highly motivated individual to join our rapidly expanding informatics division in the computational biology and genome analysis group. As Bioinformatics Scientist you will be responsible for the analysis and interpretation of next-generation sequencing (NGS) data. This work will be done as part of a team of Bioinformatics Scientists, Programmers and Analysts passionate about understanding and modeling human genetic variation. The job requires creating and using software systems to analyze human genomic data in one of the following focus areas: variant calling and interpretation; RNA quantification and transcript detection; population genetics (demography, selection and admixture); functional genomics and epigenomics (ChIP-seq, methylation); genomics of model organisms (mouse, zebrafish); metagenomics or microbiome analysis. Publication of developed methods and scientific findings is encouraged.

Job duties will include:
  • Develop and apply innovative approaches for data analysis, modeling and prediction;
  • Analyze NGS data using established workflows and perform appropriate QC measures;
  • Assist, collaborate, consult with internal/external researchers on analyses of NGS data;

Position Requirements:
  • Advanced degree in bioinformatics, biology, biochemistry, computer science, physics, mathematics or similar with demonstrable computational and statistical skills required, PhD preferred;
  • Demonstrated experience in NGS data analysis (WGS, WES, RNA-seq, or ChIP-seq);
  • 2 or more years of experience programming in R, Python, Unix shell scripting or similar;
  • Experience working in a Linux and SGE cluster environment;
  • Proficiency in utilizing data from large public projects (e.g. 1000 Genomes, TCGA, ENCODE) as part of data analysis or method development. Participation in 1000 Genomes, TCGA, ENCODE, etc. projects is a big plus.
  • Sound understanding of the statistical principles and methods that are relevant to computational genomics. Experience or training in statistics or machine learning a big plus.
  • Experience in disease-focused genomics (e.g. pediatric phenotypes, immunology, neurological or psychiatric disorders).
  • A high tolerance for change and a sense of urgency since NYGC is in start-up mode;
  • Team oriented with excellent written and verbal communication skills.