University of Virginia · 19 hours ago
Biostatistician, Department of Genome Sciences
The University of Virginia's Department of Genome Sciences is seeking a Biostatistician to work on statistical analysis of human genetic and molecular ‘omics studies. The role involves writing statistical computer programs, conducting data analysis, and collaborating on research projects related to heart failure and other diseases.
Higher Education
Responsibilities
Write Statistical Computer Programs with R or Python:
R or Python:
Enhance data visualization for interpretation of molecular ‘omics analysis
Conduct data automation and reporting, including: Develop automated data input workflows in R, enabling integration of future data into tables and figures without requiring manual code modifications; Create codes to looping structures to extract /display data summaries; Build downloadable report tables with R/Markdown and PDF export options, allowing users to save structured data directly from HTML reports; Enhance HTML report usability by creating scrollable tables, ensuring optimal viewing and navigation within web-based reports
Generate reports in PowerPoint (PPTX) & HTML formats for different presentation and sharing needs
Review statistical analysis output for consistency & quality
Research projects:
Expression quantitative trait locus (eQTL) mapping for RNA-seq data from heart failure cases and controls
Integration of eQTL with genome-wide association study (GWAS) data to identify molecular mechanisms underlying GWAS loci
Calculation and interpretation of polygenic risk scores in the context of selected GWAS and Mendelian genetic loci for heart failure and related diseases
High performance computing (HPC) to analyze large-scale data sets
Write methods and results sections of reports & publications
Develop statistical designs, power calculations, and planned analyses for research grant proposals
Develop & implement new innovative procedures in data collection, quality control, presentation of results, & statistical analyses
Prioritize tasks
Work independently to perform programming, select methods, and ensure quality of work
Other duties as assigned
Qualification
Required
Master's degree
Preferred
Master's or higher degree in Biostatistics, Genetics, Epidemiology, or a related field with substantial coursework in the field(s) of interest
Experience with statistical software (R or Python)
A strong work ethic
The ability to work independently combined with willingness to work in a highly interactive and collegial group
Excellent written and oral communication skills
Experience working with large-scale multi-center studies
Working knowledge of existing tools for genetic analysis and data management
Unix shell scripting
Experience working in a Unix / Linux environment
Benefits
This is an exempt-level, benefited position.
Learn more about UVA benefits.
Company
University of Virginia
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world.
H1B Sponsorship
University of Virginia has a track record of offering H1B sponsorships. Please note that this does not
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Funding
Current Stage
Late StageRecent News
The Republic Reporter
2024-02-29
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