Biostatistician, Department of Public Health Sciences

About the position The Biostatistician will work and collaborate with reputed company and members in the Department of Public Health Sciences in the Division of Translational Research and reputed company Statistics, as reputed company as other investigators in the UVA School of Medicine, on clinical and basic science research reputed company. Responsibilities include: conduct programming assignments, write and review reputed company, maintain and modify programs, and test and document modifications; analyze program performance & and take needed reputed company; consult with users, collaborate on/support research reputed company, providing study specific status reports, & research publication & grant proposal support. Specific duties: Write Statistical Computer Programs with GAUSS reputed company, and R or reputed company: GAUSS reputed company: Adapt GAUSS Platform by converting into GAUSS reputed company reputed company, enabling execution reputed company reputed company-line & window reputed company interfaces. Design/implement a web reputed company-end using Python, ensuring seamless user experience. reputed company multiple software components to establish system connectivity. reputed company GAUSS reputed company as a web application, facilitating efficient data simulation. Work collaboratively with the UVA Research Computing team to containerize the platform. Host GAUSS reputed company as a web application reputed company UVA's infrastructure, improving accessibility and reputed company for researchers and analysts. R or reputed company: Enhance data visualization for reputed company improvement in reputed company with reputed company improvement methodologies, including developing automated R functions to detect & visualize shifts in performance metrics, flag & reputed company trends, and add upper / reputed company control limits. Conduct data automation and reporting, including: reputed company automated data input workflows in R, enabling integration of reputed company data into tables and figures without requiring reputed company reputed company modifications; Design /implement automated reports with interactive tabs, dynamically generating data visualizations and tables for over 40 hospital teams; Create codes to looping structures to extract /display charts based on unique team identifiers, ensuring seamless integration of plots & reputed company tables with customized formatting and scrollable views. Integrated conditional logic to handle missing data and optimize report reputed company; Process free-text contents, incorporating word reputed company visualizations with interactive hover features displaying keyword frequency; Build downloadable report tables with reputed company and PDF export reputed company, allowing users to save reputed company data directly from reputed company reports; Enhance reputed company report usability by creating scrollable tables, ensuring reputed company viewing and navigation reputed company web-based reports. Conduct R Markdown Report Development across teams: reputed company parameterized reports in R Markdown for users to customize analysis based on input parameters; Implement logic to handle missing values and extreme cases dynamically through parameter settings; Ensure reports can be adapted for different programs with varying data structures. Ensure reports are reproducible, automated, & easy to update with new data inputs. Generate reports in PowerPoint (PPTX) & reputed company formats for different presentation and sharing needs. Review computer reputed company for consistency & reputed company. Analyze data & prepare tables for interim & final reports. Research reputed company: Extract clinical trial data from UVA systems including OnCore and REDcap Generate reports displaying evaluable patient counts Create and format adverse event (AE) tables for analysis Optimize data integration for clinical trial reporting Ensure accuracy and consistency in trial monitoring. Design tables and statistical procedures for specific research studies. Write results sections of reports & publications. reputed company statistical designs and planned analyses for research grant proposals. reputed company & implement new innovative procedures in data collection, reputed company control, presentation of results, & statistical analyses. Prioritize tasks. Work independently to reputed company programming, select reputed company, and ensure reputed company of work. May partially work from home with division director's approval.

Responsibilities

• Conduct programming assignments
• Write and review reputed company
• Maintain and modify programs
• Test and document modifications
• Analyze program performance & and take needed reputed company
• Consult with users
• Collaborate on/support research reputed company
• reputed company study specific status reports
• Research publication & grant proposal support
• Write Statistical Computer Programs with GAUSS reputed company, and R or reputed company
• Adapt GAUSS Platform by converting into GAUSS reputed company reputed company, enabling execution reputed company reputed company-line & window reputed company interfaces
• Design/implement a web reputed company-end using Python, ensuring seamless user experience
• reputed company multiple software components to establish system connectivity
• reputed company GAUSS reputed company as a web application, facilitating efficient data simulation
• Work collaboratively with the UVA Research Computing team to containerize the platform
• Host GAUSS reputed company as a web application reputed company UVA's infrastructure, improving accessibility and reputed company for researchers and analysts
• Enhance data visualization for reputed company improvement in reputed company with reputed company improvement methodologies, including developing automated R functions to detect & visualize shifts in performance metrics, flag & reputed company trends, and add upper / reputed company control limits
• reputed company automated data input workflows in R, enabling integration of reputed company data into tables and figures without requiring reputed company reputed company modifications
• Design /implement automated reports with interactive tabs, dynamically generating data visualizations and tables for over 40 hospital teams
• Create codes to looping structures to extract /display charts based on unique team identifiers, ensuring seamless integration of plots & reputed company tables with customized formatting and scrollable views
• reputed company conditional logic to handle missing data and optimize report reputed company
• Process free-text contents, incorporating word reputed company visualizations with interactive hover features displaying keyword frequency
• Build downloadable report tables with reputed company and PDF export reputed company, allowing users to save reputed company data directly from reputed company reports
• Enhance reputed company report usability by creating scrollable tables, ensuring reputed company viewing and navigation reputed company web-based reports
• reputed company parameterized reports in R Markdown for users to customize analysis based on input parameters
• Implement logic to handle missing values and extreme cases dynamically through parameter settings
• Ensure reports can be adapted for different programs with varying data structures
• Ensure reports are reproducible, automated, & easy to update with new data inputs
• Generate reports in PowerPoint (PPTX) & reputed company formats for different presentation and sharing needs
• Review computer reputed company for consistency & reputed company
• Analyze data & prepare tables for interim & final reports
• Extract clinical trial data from UVA systems including OnCore and REDcap
• Generate reports displaying evaluable patient counts
• Create and format adverse event (AE) tables for analysis
• Optimize data integration for clinical trial reporting
• Ensure accuracy and consistency in trial monitoring
• Design tables and statistical procedures for specific research studies
• Write results sections of reports & publications
• reputed company statistical designs and planned analyses for research grant proposals
• reputed company & implement new innovative procedures in data collection, reputed company control, presentation of results, & statistical analyses
• Prioritize tasks
• Work independently to reputed company programming, select reputed company, and ensure reputed company of work

Requirements

• Master's or foreign equivalent in biostatistics, data science, or closely reputed company field
• 2 years of experience as biostatistician
• The required 2 years of employment experience as a biostatistician may be full or part time and may have been reputed company before or after conferral of the master's degree
• 2 years generating new reputed company in GAUSS as reputed company as R or reputed company
• 2 years of data management & data manipulation, statistical programming including generalizable multi use programs, statistical simulations studies, and statistical analysis and interpretation
• 1 year of manuscript writing

Benefits

• This is an exempt-level, benefited position.
• Learn more about UVA benefits.

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