Positions for Statistical Data Analysts are available at the RGC reporting to the Analytical Genetics team. Analysts will work under the direction of managers to:
- 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.
The successful candidate will have strong programming and statistical skills, experience in the analysis of large datasets, have strong communication and collaborative skills, and exhibit meticulous attention to details. Ideally, the candidate will have experience in the analysis of genomic data, such as whole exome, whole genome, targeted sequencing data, or array based genotype data; experience with statistical methods for genetic association analysis, familiarity with concepts of study design for epidemiologic and family studies, and knowledge of online tools and databases for genetic analyses and interpretation. Excellent communication skills are required to present and convey results and findings to the statistical genetics team and the broader RGC group.
• Perform a variety of statistical genetic analyses of quantitative and qualitative traits, including population and family-based genomic association studies (variant-, gene – and pathway-wise), genome wide association scans of common haplotypes, tests of gene x gene or gene x environment interactions, assessment of gene sets or pathways.
• Develop, maintain and evaluate quality control reports for high throughput sequence data.
• Develop and maintain analysis data sets across multiple phenotypes and studies, by the appropriate study design.
• Carry out various programming tasks as directed by your manager, for example, power calculations or simulation experiments.
• Interact with biostatisticians, epidemiologists and clinical scientists to carry out statistical data. analysis to promote gene mapping and target discovery.
• Assist in the preparation of scientific presentations, manuscripts, reports, and grant proposals including the preparation of tables, figures, and graphs depicting research results.