Jennifer West

VIRGINIA TECH CARILION HEALTH SCIENCES AND TECHNOLOGY CAMPUS, ROANOKE CENTER FOR BIOSTATISTICS AND HEALTH DATA SCIENCE.

PROJECT OF INTEREST: Collaborated with faculty on an observational retrospective study from design, to data downloading and wrangling, to analysis, and manuscript writing.

RESPONSIBILITIES:

• Facilitate scholarship through team science.
• Meet with researchers, guide study design and analysis, clean and integrate quantitative and qualitative data of various formats, write R and SAS programming scripts to generate statistical analysis, summarize, and visualize data, and collaborate on manuscripts for reporting and publication.
• Engage in professional development via short courses, seminars, and team meetings.
• Mentor computational mathematics and data analytics undergraduate students through their capstone projects by formulating data management and analytic projects, supervising progress, and advising statistical approaches.

PROJECT OF INTEREST: Salary equity study, VTCSOM data integration.

RESPONSIBILITIES:

• Developed SAS, R, and SQL programming scripts to generate descriptive statistics, summarize and visualize data, clean and synthesize data from disparate sources for reporting, compliance, and business solutions.
• Identified key data fields to build and maintain datasets for both public and secure online query tools in collaboration with web developers.
• Collaborated across campus and across disciplines to develop and maintain data integrity, integration, and access solutions.
• Mentored and supervised graduate assistants in supporting department goals.

ROLE: Developed and taught Epidemiology and Quantitative Methods in Public Health Lab curriculum for MPH students alongside lecture section instructor, integrating timely datasets within the health sciences.

HIGHLIGHTS:

• Developed statistical method guide sheets; wrote an R short course in logistic regression; worked with Professor of Neuroscience on a brain injury research study.

RESPONSIBILITIES:

• Guided faculty and graduate students across all disciplines through the statistical analysis process.
• Provided methodology research and review, coded statistical solutions in R & SAS including power and sample size calculations, customized graphics in statistical software, and prepared reports for publication and academic purposes.
• Coached graduate students through statistical explanations within their thesis defense, both written and oral.
• Reviewed grant proposals for study methodology soundness and appropriateness of planned statistical analysis.