About the New York Genome Center
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.
The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, national origin, age, disability, or protected veteran status. The New York Genome Center takes affirmative action in support of its policy to and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.
The New York Genome Center is looking for a number of highly motivated, detail-oriented individuals to join our rapidly expanding informatics division in the bioinformatics and computational biology group. As Bioinformatics Analyst / Senior Bioinformatics Analyst you will be responsible for the analysis and interpretation of next-generation sequencing (NGS) data. You will work as part of a team of analysts and scientists lead by experienced bioinformatics scientists and managers. We are looking for candidates in a number of different areas, including metagenomics, cancer biology, and statistical genetics/epidemiology.
· Analyze sequencing data using established pipelines;
· Perform appropriate QC measures;
· Implement, maintain and document data analysis pipelines and workflows;
· Benchmark new tools for sequencing data analysis and propose improvements;
· Assist and collaborate with internal and external researchers in interpretation of sequencing data.
· BS/MS/PhD degree in bioinformatics, computer science, genetic epidemiology, biology, biochemistry, biostatistics or similar;
· Demonstrated exposure to NGS data analysis;
· Programming skills in R, Python, Perl or similar;
· Experience in shell scripting (e.g. BASH);
· Experience working in a Linux environment;
· Experience using an SGE cluster preferred;
· Exposure to population genetics, functional genomics, epigenomics, familial studies or metagenomics preferred;
· Familiarity with commonly used public genomics datasets (e.g. TCGA, 1000 Genomes, GTEx, ENCODE, REMC, KEGG, or GO) a plus;
· Team oriented with excellent written and verbal communication skills.
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Source: Nature Jobs