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BACKGROUND

The Regeneron Genetics Center is a wholly-owned subsidiary of Regeneron Pharmaceuticals organized to collaborate with health systems and research groups to elucidate, on a large scale, genetic factors that cause or influence a range of human diseases. The Analytical/Statistical Genetics team in the Genetics Center is responsible for the design, statistical analysis, and interpretation of all genetic studies conducted by the center.

RESPONSIBILITIES

Perform quality control checks and data management of large genomic sequencing and phenotypic datasets derived from electronic health records, display and report summary statistics for these data, creating analysis-ready datasets by implementing study designs developed for population and family-based projects, implementing inclusions / exclusions, and carrying out phenotype adjustments and transformations
Carry out statistical genetic analyses to determine genotype-phenotype relationships including regression, logistic regression, rare variant aggregation tests, family-based tests in pedigrees and trios for quantitative biomarkers and disease traits
Work with computational biologists and others to develop and provide programming support for the creation of algorithms and automated pipelines for analysis of NGS and array data
Support the creation of queryable databases summarizing results across multiple projects

REQUIREMENTS

This position requires a minimum of an MS, or BS with 3 years relevant experience in Bioinformatics, Biostatistics, Genetic Epidemiology, Genetics, Genomics or related field. Additional requirements include:

Experience with handling & managing large datasets/software associated with high-throughput instruments for genetics/genomics
Excellent oral and written communication skills as well as documented skills in communicating scientific findings
Strong work ethic and enthusiasm for collaborative science
Experience working independently and in a team environment
Statistical knowledge and experience as well as strong background in computer programming
Strong knowledge in use of statistical software (e.g. R, Perl/Python, etc.), with ability to perform statistical analysis, interpretation, and effective communication results