Career Opportunities

Bioinformatics Analyst (Statistical Genetics/Genetic Epidemiology)

Posted on: Tuesday, August 18, 2015
Organization: New York Genome Center
Location: New York, NY
Description:

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.

Position Description

The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding informatics division in the bioinformatics and computational biology group. As Bioinformatics Analyst (Statistical Genetics/Genetic Epidemiology), you will be responsible for the analysis and interpretation of next-generation sequencing (NGS) data, including but not limited to small & large scale familial data and population data. You will work as part of a team of analysts and scientists led by experienced bioinformatics scientists.

Job duties might include:

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 on interpretation of sequencing data;
Summarize results in written or oral reports for bioinformatics scientists and internal researchers;
Assist bioinformatics scientists in preparing text and figures for manuscripts and external presentations.

Requirements:

BS degree in genetics, statistics, biostatistics, genetic epidemiology, bioinformatics, computer science, physics, mathematics or similar with demonstrable computational and statistical skills required, MS preferred;
Demonstrated exposure to NGS data analysis with a focus on statistical/mathematical genetic methods and experimental design [e.g. association of rare variants (burden tests, SKAT), haplotype analysis, structural variant analysis, epigenetics];
Experience in disease-focused genomics (e.g. pediatric phenotypes, immunology, neurological or psychiatric disorders);
Programming skills in R, Python, Perl, BASH or similar;
Programming skills in C++ or Java a plus;
Experience working in a Linux environment, experience with SGE preferred;
Familiarity with commonly used public genomics datasets (e.g.; 1000 Genomes, TCGA, GTEx) a plus;
Team oriented with excellent written and verbal communication skills.

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